Software Engineer

🏢 Summary: Hands-On Engineering Manager role focused on building and shipping AI-native, agentic banking products that operate across voice, chat, and digital channels. The position involves architecting low-latency distributed backend systems, orchestrating multi-agent LLM workflows, and leading a high-performance engineering team while remaining deeply hands-on. The goal is to deliver production-grade AI systems that autonomously power real-time financial customer experiences. 🗂️ Requirements: 8+ years backend engineering experience, Experience building distributed systems, Experience with low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating systems with LLMs, 2+ years engineering management or technical leadership experience, Experience designing and orchestrating agentic workflows, Proficiency in Typescript and/or at least two backend languages, Strong understanding of distributed systems, concurrency, reliability, Experience deploying AI systems in cloud environments, Experience building high-concurrency, fault-tolerant systems, Experience implementing observability, monitoring, and testing for production systems, Experience ensuring security and safe handling of financial data 📃 Skills: Typescript, Node.js, Go, Java, Rust, LLM, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, Chat, APIs, Cloud, Observability, Monitoring, Testing, Security, ReinforcementLearning, MultiAgentSystems 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Hands-On Engineering Manager role focused on building and orchestrating AI-native, agentic systems for real-time voice and chat in banking. The position combines deep backend distributed systems expertise with LLM-driven multi-agent architectures to deliver low-latency, production-grade AI products. You will lead a high-performance team while remaining hands-on in architecting and shipping scalable, reliable AI systems. 🗂️ Requirements: 8+ years backend engineering experience in distributed systems, Experience building low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating and orchestrating LLMs, 2+ years engineering management or technical leadership experience, Strong proficiency in TypeScript and/or at least two backend languages (Node.js, Go, Java, Rust), Deep understanding of distributed systems, concurrency, and reliability, Experience deploying AI systems in cloud environments, Experience designing agentic workflows and multi-agent systems 📃 Skills: TypeScript, Node.js, Go, Java, Rust, LLMs, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, APIs, Cloud, ReinforcementLearning, Monitoring, Observability 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Backend Developer AI role focused on building secure, high-performance banking systems using Java while leveraging agentic development with LLMs and AI agents throughout the full SDLC. The position emphasizes Specification Driven Development and development of scalable backend components and APIs. Hybrid work model with long-term cooperation on financial sector projects. 🗂️ Requirements: Minimum 3 years of experience in Java web application development, Commercial experience with Spring, Commercial experience with Hibernate, Practical experience with Specification Driven Development in SDLC, Hands-on use of LLM-based tools and AI agents in daily development, Experience with AI coding assistants (e.g. GitHub Copilot) used in production workflows, Experience with hexagonal architecture 📃 Skills: Java, Spring, Hibernate, LLM, AI, GitHub, Copilot, SDLC, API, Hexagonal, SpecificationDrivenDevelopment 🏢 Description: O Grupie Astek Założona w 1988 roku we Francji Grupa Astek jest światowym partnerem w obszarze doradztwa inżynieryjnego oraz IT. Dzięki swojej wiedzy specjalistycznej w wielu sektorach przemysłowych i technologicznych, Astek wspiera międzynarodowych Klientów w rozwijaniu i wdrażaniu produktów oraz usług, jednocześnie uczestnicząc w ich transformacji cyfrowej. Grupa Astek od momentu powstania opiera swój rozwój na kulturze przedsiębiorczości i innowacyjności oraz na budowaniu umiejętności swoich ponad 10 000 pracowników, którzy codziennie uczestniczą w zróżnicowanych projektach technologicznych i inżynieryjnych. Dołącz do silnie rozwijającej się we Francji i na całym świecie Grupy, której obroty w 2024 r. wyniosły 705 milionów euro. Zapraszamy na https://astek.net po więcej szczegółów. Projekt: Szukamy programisty backend, który w codziennej pracy wykorzystuje agentic development: narzędzia oparte o LLM, agentów AI oraz automatyzacje wspierające projektowanie i implementację systemów. Na tym stanowisku będziesz budować backend odpowiadający za wydajność, bezpieczeństwo i niezawodność systemów używanych przez miliony klientów jednocześnie rozwijając proces wytwarzania oprogramowania w oparciu o Specification Driven Development w ramach pełnego SDLC. Stanowisko Obecnie dla naszego klienta z branży finansowej poszukujemy kandydata/kandydatki na stanowisko Backend Developera AI (he/she). Oferowane wynagrodzenie Wynagrodzenie: od 1200 PLN netto/dzień, w zależności od posiadanego doświadczenia i kompetencji lub UOP jeżeli jesteś zainteresowany . Model pracy : Praca hybrydowa – 1 dzień w tygodniu praca z biura klienta w centrum Warszawy. Twoje codzienne obowiązki: Rozwój nowych funkcjonalności w systemach bankowych oraz refaktoryzację istniejących. Wytwarzanie oprogramowania w oparciu o Specification Driven Development (tworzenie, doprecyzowanie i utrzymanie specyfikacji jako podstawy implementacji i testów). Codzienna praca w podejściu agentic development: wykorzystanie LLM i agentów AI do przyspieszania analizy, projektowania, implementacji i refaktoryzacji. Projektowanie i wdrażanie rozwiązań backend (API, integracje, komponenty domenowe) z naciskiem na jakość, bezpieczeństwo i niezawodność. Zapewnienie wysokiej jakości kodu – pod kątem funkcjonalności, wydajności i niezawodności (w tym testy automatyczne). Udział w projektach realizowanych w jednostce i aktywny wpływ na ich kształt. Proponowanie i wdrażanie nowych technologii oraz optymalizacji. Współpraca z analitykami, biznesem i zespołami technicznymi oraz tworzenie klarownej dokumentacji (w tym dokumentacji/specyfikacji). Idealnie pasujesz do tej roli, jeśli posiadasz: Masz min. 3 letnie doświadczenie w tworzeniu aplikacji webowych w Javie oraz pracując z Springiem i Hibernate'em. Masz praktyczne doświadczenie w SDLC realizowanym w oparciu o Specification Driven Development (praca na specyfikacjach, ich doprecyzowywanie, utrzymanie i wykorzystywanie jako źródła prawdy dla implementacji/testów). Na co dzień korzystasz z podejścia agentic development — narzędzi opartych o LLM i agentów AI w procesie wytwarzania oprogramowania (nie tylko „eksperymentalnie”, ale jako stały element pracy). Masz praktyczne doświadczenie w korzystaniu z narzędzi AI do programowania (np. GitHub Copilot lub podobnych) oraz potrafisz używać ich w sposób bezpieczny i efektywny w codziennym SDLC. Masz doświadczenie z architekturą heksagonalną. Dodatkowym atutem będzie: Doświadczenie w sektorze bankowym Twoja osobowość: Jesteś graczem zespołowym Stawiasz na długoterminową współpracę Łatwo adaptujesz się do zmian Nasz proces rekrutacji Rozmowa z naszym Rekruterem -> Rozmowa z naszym Business Managerem -> Spotkanie z Klientem W uzasadnionych przypadkach po rozmowie z Rekruterem wprowadzamy dodatkowy etap weryfikacji technicznej Potrzebujesz więcej informacji? Skontaktuj się ze mną: anna.jarecka@astek.net Co oferujemy Długoterminowa współpraca Szkolenia techniczne, certyfikaty i podnoszenie kwalifikacji Mentoring Competence Center - bycie członkiem społeczności CC od pierwszego dnia pracy jest szansą na rozwijanie swoich umiejętności, uczestniczenie w różnych konferencjach oraz dzielenie się wiedzą i doświadczeniem z ludźmi, którzy na co dzień mierzą się z tymi samymi wyzwaniami Jasna ścieżka kariery Pakiet benefitów pracowniczych (Multisport, prywatna opieka medyczna, ubezpieczenie na życie) Przyjazną atmosferę pracy, imprezy integracyjne i spotkania team-buildingowe System rekomendacji Znasz kogoś, kogo zainteresuje ta oferta? Skorzystaj z naszego systemu rekomendacji i zgarnij bonus do 7000 zl! Link: https://astek.pl/system-rekomendacji/ Klauzula informacyjna Administratorem Pana/Pani danych osobowych jest ASTEK Polska sp. z o.o. z siedziba w Warszawie (00-133) przy Al. Jana Pawla II 22. Przysługuje Pani/Panu prawo do wglądu do danych, prawo żądania usunięcia danych itp. Szczegółowe informacje dotyczace przetwarzania: http://astek.pl/polityka-prywatnosci W dowolnym momencie przysługuje Panu/Pani prawo do wycofania wyrażonych zgód. W razie wycofania zgód prosimy o kontakt e-mailowy na adresprivacy@astek.pllub pisemnie na adres administratora. Procedura dokonywania zgłoszeń przez sygnalistów w ASTEK Polska sp. z o. o.: https://astek.pl/sygnalisci/ Nr ref AO226233

🏢 Summary: Frontend Engineer role focused on building and owning the UI layer of production-ready AI products for B2B clients using TypeScript and React. The position involves developing performant, maintainable interfaces, integrating REST APIs, and handling real-time data flows in close collaboration with backend engineers. This is a hands-on role working on client-facing AI systems where usability and reliability are critical. 🗂️ Requirements: 3–5 years of experience building production frontend applications, Strong experience with TypeScript and React, Experience integrating REST APIs, Experience handling asynchronous UI states, Ability to manage authentication, loading, and streaming states, Experience with SSE or WebSockets, Ability to read and debug Python and FastAPI code 📃 Skills: TypeScript, React, Vite, REST, SSE, WebSockets, Python, FastAPI, Tailwind, shadcn 🏢 Description: About Agentica Agentica is an AI automation startup that designs and deploys custom AI products and agents for B2B clients worldwide. The company builds production-ready AI systems that automate and replace manual business processes across helpdesks, internal tools, e-commerce, production, and other high-friction areas. Its team delivers practical agentic AI solutions for clients ranging from cybersecurity software distributors to global Web3 companies. The Role You’ll own the frontend layer of AI products and client projects, working mainly with TypeScript and React. This is hands-on work on production systems where usability, performance, and reliability matter. You’ll work closely with the tech team and be responsible for shipping clean, maintainable UI code ready for client use. What You’ll Do Build and maintain frontend applications using TypeScript, React, and Vite. Collaborate with backend engineers to integrate REST APIs and manage async data flows. Prototype new interfaces with clients in early stages. Implement clean, extensible component architectures. Handle auth states, loading states, and streaming data (SSE / WebSockets). Read and debug Python / FastAPI backends when needed. Guide coding agents while ensuring code quality. What We’re Looking For Clear communication and strong ownership. AI-first mindset and ability to learn quickly. 3–5 years building production frontend applications. Strong TypeScript and React experience. Experience integrating APIs and handling async UI states. Comfortable reading Python / FastAPI code. Nice to Have Tailwind CSS or component libraries (e.g., shadcn/ui). B2B SaaS or enterprise product experience. What We Offer Attractive salary PLN 12,000–20,000 depending on experience. High-ownership projects with real technical depth and steep learning curves. Early-stage leverage: join while the company is scaling fast and shape how it grows. Fully remote or hybrid from our office in central Warsaw. Flexible working hours built around output, not presence. A senior, technically sharp team with hands-on AI and software delivery experience. Apply now and build leading AI products. Join a team that cares about quality, ownership, and real client impact.

🏢 Summary: Full-time Engineering Team Lead role focused on leading and contributing hands-on to the development of onboarding and engagement features within a trading platform, with strong emphasis on React/React Native, production reliability, and AI-assisted development. The position combines technical leadership, end-to-end feature delivery, and ownership of performance and quality in a customer-facing fintech environment. Hybrid work model with on-call responsibilities. 🗂️ Requirements: Extensive software engineering experience with proven technical delivery, Strong Frontend expertise in React and React Native, Experience building and operating production systems, Experience with AI-assisted development tools, Ability to lead and mentor engineers, Commitment to TDD, code reviews and testing practices, Willingness to participate in on-call rotation, Strong English communication skills 📃 Skills: React, ReactNative, JavaScript, TypeScript, TDD, AI, Git, CI/CD, Testing, Observability 🏢 Description: Job Description Minimum compensation: starting from 26 750 PLN. The final offer will be determined based on the candidate's experience and competencies. So, who are we? Hello, we're IG Group. We are a FTSE100 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your team The Lifecycle team is a product-aligned, customer-first engineering team owning onboarding, activation, and engagement experiences across IG's platform. We build and support the critical first-mile customer journey and ongoing engagement features - with an obsessive focus on reducing friction, improving conversion, and driving engineering excellence to ensure our systems are reliable, performant, and easy to change. Your role in the Team's Success Your primary responsibility will be to lead a small, high-performing engineering team – combining hands-on technical excellence with day-to-day leadership. You'll set technical direction for your domain, drive delivery of business-critical features, and ensure your team operates with an ownership mindset. You'll work as a hands-on practitioner who leads by example, spending significant time writing code while coaching others to grow into independent, self-sufficient engineers. You'll leverage AI-assisted development tools as a core part of your workflow — we expect engineering leaders to actively embrace AI to multiply their team's impact. Think and act like an owner – your leadership directly impacts our customers’ ability to achieve their financial goals. What you'll do Lead end-to-end delivery of features within your domain – from technical design through to production – taking accountability for performance, reliability, and business outcomes Stay hands-on with code, demonstrating high-quality engineering that embodies what a world-class engineer should be – your team learns from your example Coach and develop team members to become independent, self-sufficient engineers – everyone on your team should aspire to grow and operate autonomously Drive technical excellence and raise the bar across your team – set and enforce high standards for code quality, testing, observability, and documentation Partner with Product, Design and stakeholders to translate business requirements into technical solutions that champion the client and deliver real commercial value one iteration at a time Identify and escalate risks early, remove delivery blockers, and ensure your team delivers at pace without compromising quality Think big – proactively identify opportunities to improve systems, reduce complexity, and challenge the status quo rather than just maintaining things as they are Leverage AI-assisted development tools to accelerate your team's delivery, improve code quality, and stay at the cutting edge of modern engineering practices You'll need to be willing to commit to an on-call support rota - on-call time is compensated (This is a Full Time employment contract, not B2B) What you'll need for this role For this role, we're looking for someone with: Extensive software engineering experience with a strong track record of technical delivery and informal leadership – you've been the go-to person others turn to for guidance Deep expertise in your core technology stack, particularly Front End expertise in React/React Native – you know when to use the right tool and how to make it sing Battle-tested experience building and operating production systems – you've been on-call when something breaks at night and lived to tell the tale Demonstrated ability to mentor and develop other engineers – you get genuine satisfaction from helping others grow Experience with AI-assisted development tools is expected – we're looking for technical leaders who see AI as a force multiplier, not a threat Whilst a Bachelor's degree in Computer Science, Engineering would be useful, we value real world practical experience. If you’re an excellent engineering leader then do apply! An ownership mindset that borders on obsessive – you treat every system with care and a focus on the best customer experience possible in terms of speed, reliability, intuitiveness and functionality, and you hold others to the same standard An AI-positive mindset – you see AI tools as amplifiers of engineering capability, not replacements, and you're excited to push the boundaries for you and your team of what's possible with AI-assisted development Strong commitment to engineering excellence: TDD, pairing, code reviews, and continuous improvement are how you operate, not boxes you tick Strong English-language communication skills and the ability to work effectively in globally distributed, cross-functional teams – you can explain complex technical concepts simply Keen interest in ongoing learning, both business and technical – you'll gain deep understanding of IG's trading products and financial markets, and share this knowledge with others Familiarity with financial services or trading platforms is highly desirable but not essential — curiosity and learning ability matter more Willingness to participate in on-call rotation — because you build it, you run it, you love it This is a hybrid position (3 days onsite, 2 days remote work) How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible working hours & hybrid working Home office equipment reimbursement Performance-related bonus Private medical cover for you and your family/partner (Medicover) Multikafeteria system (you can choose a multisport card, vouchers, etc.) Life insurance (Generali) Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture Career-focused technical and leadership training in-class and online, incl. unlimited access to the LinkedIn Learning platform Well-being events as well as Employee Assistance Programme Summer picnic, New Year party and other social events 3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work Learn more about the Perks here ! Join us for this exciting journey. Apply now!

🏢 Summary: Senior AI Agent Engineer role focused on building and deploying production-grade AI agents on top of frontier LLMs for supply chain operations. You will design agent harnesses, evaluations, orchestration, and supporting infrastructure, partnering closely with product and customers to take ideas from 0 to scaled deployment. The position combines deep hands-on LLM engineering with distributed systems and customer-embedded product development. 🗂️ Requirements: 5+ years of software engineering experience, 1+ year shipping LLM- or agent-based features to production, Strong proficiency in Python and/or TypeScript/Node.js, Experience designing APIs and distributed systems, Experience with PostgreSQL and data modeling, Hands-on experience with prompt engineering and evaluation frameworks, Experience with agent orchestration patterns and frontier model APIs 📃 Skills: Python, TypeScript, Node.js, LLMs, Prompting, PostgreSQL, APIs, DistributedSystems, Orchestration, Retrieval, MCP, WMS, TMS, ERP 🏢 Description: We are seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the Agents team and build the next layer of an agentic platform that synthesizes marketplace data and operates autonomously inside customers' supply chain workflows. You will own the AI agents and the infrastructure they depend on, partnering closely with the CTO, product, and operators to take ideas from 0 to scaled deployments. About the Role You will embed deeply in customers' operations, design and ship production agent harnesses on top of frontier models, and turn field learnings into durable product. You will build the harnesses, evaluations, orchestration, and model strategy that power the broader product. Responsibilities - Embed with customers and operators to understand supply chain workflows and design agents that automate meaningful work. - Build production agent systems on frontier LLMs, including tool use, sub-agents, retrieval, structured outputs, MCP servers, and orchestration. - Own evaluation as a first-class discipline using datasets from real traces, rubrics, graders, experiments, and measurable improvements. - Architect the data, services, and APIs the agent layer depends on, integrating internal systems with customers' WMS, TMS, and ERP environments. - Codify repeatable deployment patterns to accelerate new customer rollouts. Qualifications - 5+ years of software engineering experience, with 1+ year shipping LLM- or agent-based features into production. - Strong proficiency in Python and/or TypeScript/Node.js. - Experience designing APIs, distributed systems, and data models in PostgreSQL. - Hands-on experience with production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs. - Track record of building in fast, ambiguous environments. - Excellent written and verbal communication skills. Benefits - Start-up equity - Competitive salary - 100% paid health, dental, and vision coverage - Dinner provided via DoorDash, free DashPass, and stocked kitchen for NY employees - Commuter benefit - Gympass benefit - Additional benefits: One Medical membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range The compensation range for this position is $200,000 to $240,000, with potential exceptions based on candidate qualifications.

🏢 Summary: Hybrid contract role for a senior Power Platform developer in the banking sector, focused on designing and extending complex enterprise solutions using both low-code and pro-code approaches. The position involves architecting advanced Power Apps and Power Automate solutions, extending Dataverse with C# plugins, and optimizing SQL-based data integrations. The role also includes integrating Power BI analytics and ensuring high performance and secure data architecture. 🗂️ Requirements: Advanced experience with Power Apps (Canvas and Model-Driven), Strong expertise in Power Automate including cloud and desktop flows, Expert-level knowledge of Dataverse data modeling and security, Proficiency in C# and .NET for Dataverse plugins and custom workflows, Strong skills in JavaScript or TypeScript for client-side customization and PCF, Experience with Web API integrations and custom connectors, Advanced T-SQL skills including stored procedures and views, Experience with SQL performance tuning and indexing, Knowledge of hybrid data architecture and On-Premises Data Gateway, Ability to integrate Power BI with Power Apps and implement RLS 📃 Skills: PowerApps, PowerAutomate, Dataverse, C#, .NET, JavaScript, TypeScript, PCF, WebAPI, SQL, T-SQL, PowerBI, DAX, RLS, PowerQuery, JSON 🏢 Description: Astek Group Founded in France in 1988, Astek is a global player in engineering and technology consulting, present on five continents. With its expertise in many industrial and tertiary sectors, it supports its international clients in the intelligent deployment of their products and services, and in the implementation of their digital transformation. Since its creation, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and skills development of its 10 000 employees who are committed every day to promoting combination of digital technologies and complex systems engineering. Join a Group rapidly developing in France and around the world, with a turnover of 705 M€ in 2024. More on the Group on our website https://astek.net. Position We're currently looking for a candidate for our client in the banking industry. Location: Gdynia Type of work: hybrid, 2/3 office days during week Salary offered 900 - 1120pln netto + VAT / day You will be successful in this role if: 1. Power Platform Core Mastery (Advanced Low-Code - Power Apps: Architecting complex Canvas apps (performance optimization, delegation, offline sync) and Model-Driven apps (custom Command Bar buttons, advanced Business Process Flows) - Power Automate: Designing resilient cloud flows with advanced error handling (try/catch blocks), child flows, and Desktop flows (RPA) for legacy system automation - Dataverse: Expert-level relational data modeling, implementing complex Security Roles (Business Units, Field-level security), and calculated/rollup columns. 2. "Pro-Code" Development (The Extensibility Layer) - C# / .NET: Writing Dataverse Plugins and Custom Workflow Activities to handle logic that exceeds standard platform capabilities. -JavaScript / TypeScript: Implementing client-side logic for Model-Driven forms and building custom UI controls via the Power Apps Component Framework (PCF). - Web API & Integration: Expert use of Custom Connectors, interacting with the Dataverse Web API, and handling complex JSON parsing for third-party integrations. 3. SQL & Data Engineering Skills - T-SQL Proficiency: Writing advanced queries, Stored Procedures, and Views to manage high-volume data or perform complex migrations. - Hybrid Data Architecture: Configuring the On-Premises Data Gateway and implementing Virtual Tables to surface SQL data in Power Apps without data duplications - Performance Tuning: Understanding SQL indexing and execution plans to ensure apps connected to large SQL databases remain responsive. Welcome: Power BI Cloud (Valuable "Nice-to-Have") Embedded Analytics: Integrating interactive Power BI tiles directly into Power Apps with contextual filtering. Data Modeling & DAX: Creating efficient data models (Star Schema) and complex measures using DAX for business-critical KPIs. Security & Distribution: Configuring Row-Level Security (RLS) and managing Workspaces/Apps to ensure secure data distribution. Dataflows: Utilizing Power Query Online to transform diverse data sources (SQL, Dataverse, APIs) into reusable datasets. Tasks waiting for you: Integrating core platform mastery, "pro-code" extensions, SQL data management, AI innovation, and Power BI insights. Architecting complex Canvas apps, designing resilient cloud flows with advanced error handling (try/catch blocks), child flows, Implementing client-side logic for Model-Driven forms and building custom UI controls via the Power Apps Component Framework (PCF) Writing advanced queries, Stored Procedures, and Views to manage high-volume data or perform complex migrations. Our Recruitment Process Interview with our Recruiter -> Interview with our Business Manager -> Client Meeting In justified cases, after the interview with the Recruiter, we introduce an additional technical verification step What we offer Long-term collaboration Technical training, certifications, and skills development Competence Center mentoring - being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day Clear career path Employee benefits package (Multisport, private healthcare, life insurance) Friendly working atmosphere, team-building events, and team-building meetings Recommendation System Do you know someone who might be interested in this offer? Use our recommendation system and receive a bonus of up to PLN 7,000! Link: https://astek.pl/system-rekomendacji/ Information Disclaimer The controller of your personal data is ASTEK Polska sp. z o.o., with its registered office in Warsaw (00-133), at Aleja Jana Pawla II 22. You have the right to access your data, request its deletion, etc. Detailed information regarding data processing can be found HERE: http://astek.pl/polityka-prywatnosci You have the right to withdraw your consent at any time. If you wish to withdraw your consent, please contact us by email at privacy@astek.net or in writing at the controller's address. Whistleblower reporting procedure at ASTEK Polska sp. z o. o. Reference number: AO228664

🏢 Summary: Design and deploy learning-based manipulation systems for humanoid and mobile robots, leveraging foundation models and advanced generative control methods. The role focuses on sim-to-real transfer, digital twins, teleoperation data pipelines, and robust closed-loop visuomotor policy deployment in production environments. You will work on scalable robotics infrastructure to enable reliable, real-world robotic manipulation at scale. 🗂️ Requirements: Experience training embodied AI policies for real robots, Experience with transformer-based action models, Experience with diffusion policies or generative control methods, Experience adapting or fine-tuning large-scale multimodal/foundation models, Ability to deploy and optimize models on real robotic systems, Strong understanding of sim-to-real transfer challenges, Experience with multi-modal inputs (vision, proprioception, language), Proficiency in Python, Proficiency in deep learning frameworks, Experience integrating learned policies with real-time control systems, Strong experimental design and debugging skills 📃 Skills: Python, PyTorch, JAX, IsaacSim, MuJoCo, Transformers, Diffusion, ACT, VLA, Pi0, Gemini, Robotics, Teleoperation, Visuomotor, Simulation 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. In this role you will: - Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms - Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools - Implement and evaluate approaches such as: - Action Chunking with Transformers (ACT) - Diffusion Policies - Behavior Cloning at Scale - Vision-Language-Action (VLA) models - Latent action or hierarchical skill models - Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks - Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer - Build teleoperation-to-training data pipelines - Design sim-to-real transfer strategies including domain randomization and system identification - Evaluate policy robustness, generalization, and real-world performance - Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies - Deploy, tune, and iterate on models running on real robotic systems in production environments What makes you a great fit: - Experience training embodied AI policies for real robots - Familiarity with transformer-based action models (e.g., ACT) - Experience with diffusion policies or other generative control methods - Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models) - Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability) - Strong understanding of sim-to-real challenges - Experience working with multi-modal inputs (vision, proprioception, language) - Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.) - Experience integrating learned policies with real-time control systems - Strong experimental design, evaluation, and debugging skills Our Total Rewards: - Equity in Formic - Competitive & Uncapped Commission Structure (for commission-eligible roles) - Comprehensive Healthcare Coverage (medical, dental, vision) - FSA and DCFSA - Life insurance - Short-term and long-term disability insurance - Employee Assistance Program (EAP) - Paid Parental Leave (up to 12 weeks) - Company-sponsored 401(k) - Home Office Stipend - Monthly Cell Phone Reimbursement - Flexible Time Off Compensation Philosophy Formic's pay and equity packages are benchmarked against peer companies at a similar growth stage. Equity represents a meaningful part of the mutual investment. Final offers are customized based on experience, geographic location, market considerations, and preferred balance of cash and equity. Compensation Range: $145,000—$200,000 USD What we look for: We value candidates who align with the company’s operating principles, take ownership, think from first principles, act with urgency, collaborate across teams, and demonstrate resilience and optimism while building scalable systems. Equal Opportunity Employment: Formic is an equal opportunity employer. Employment decisions are based on merit, business needs, and role requirements. AI Use: AI-powered tools may be used during parts of the interview process, with final hiring decisions made by humans.

🏢 Summary: Remote-first AI-First Fullstack Engineer role focused on building and maintaining full-stack applications while deeply integrating AI tools into the development workflow. The position emphasizes advanced use of AI coding assistants, agent-based workflows, and structured AI planning alongside strong backend and frontend engineering skills. Engineers contribute to architecture, code quality, and continuous improvement of AI-augmented practices. 🗂️ Requirements: 3+ years commercial experience with .NET and C#, Experience building REST APIs, middleware, and authentication flows (OAuth 2.0, OpenID Connect, JWT), Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Understanding of AI agents and sub-agents and their composition, Experience creating or using custom AI skill definitions, Familiarity with AI planning workflows for structured implementation plans, Ability to perform prompt engineering and critically evaluate AI outputs, Experience configuring project-level AI instructions (e.g., copilot-instructions.md, CLAUDE.md), Solid proficiency in JavaScript and TypeScript, Practical experience with React or Angular, Experience with SQL databases and ORMs, Knowledge of CI/CD pipelines, Experience with Docker, Fluent English communication for technical collaboration 📃 Skills: .NET, C#, REST, OAuth2, OpenID, JWT, SQL, ORM, NoSQL, JavaScript, TypeScript, React, Angular, Python, Java, Node.js, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, CI/CD, DDD, CQRS 🏢 Description: We are looking for an AI-First Fullstack Engineer who is actively building a real AI-augmented development practice — not just using autocomplete. You will work across varied client engagements, contribute to meaningful technical decisions, and be expected to grow quickly in an environment that takes AI tooling seriously. This is a role for engineers who are intentional about how they use AI and want to develop that skill alongside their core technical craft. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Develop and maintain full-stack features with attention to quality, performance, and reliability Apply AI tools actively throughout your workflow: generation, refactoring, review, testing, and research Participate in architectural and design discussions — contribute ideas, ask good questions, and learn from senior engineers Write clean, reviewable code and actively engage in code reviews Communicate clearly with the team and client stakeholders in English Flag risks, blockers, and technical concerns early Continuously refine your AI workflow and share learnings with the team AI-First Requirements Must have: Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Understanding of agents and sub-agents: what they are, how they are composed, and when to use them Experience with custom skills: creating or using reusable AI skill definitions that extend tool capabilities beyond defaults Familiarity with AI planning workflows: using AI to generate structured implementation plans (e.g. task breakdowns, step-by-step plans stored as files or tickets) before generating code Prompt engineering sufficient to produce reliable, high-quality output; ability to critically evaluate and override AI suggestions when needed Experience building or configuring project-level AI instructions (e.g. copilot-instructions.md , CLAUDE.md , or similar) to shape agent behavior at the repo level Nice to have: Awareness of how AI tools fit into different SDLC phases: requirements analysis, design, implementation, code review, testing, and documentation — not just code generation Practical experience orchestrating multiple AI agents in parallel for concurrent task execution Familiarity with agentic loop patterns: tool use, reflection, iterative self-correction Technical Requirements 3+ years of commercial experience with .NET / C# — REST APIs, middleware, dependency injection, authentication flows: OAuth 2.0, OpenID Connect, JWT SQL databases and ORMs; NoSQL familiarity is a plus Additional experience in Python, Java, or Node.js is a plus Solid proficiency in JavaScript and TypeScript Practical experience with React (preferable) and/or Angular Familiarity with state management, async patterns, and frontend testing basics Comfortable working on both monolithic and service-oriented codebases Awareness of DDD, CQRS concepts (hands-on experience is a plus, not required) Basic familiarity with message-driven or event-driven patterns Docker fundamentals; basic Kubernetes awareness is a plus CI/CD: GitHub Actions, Azure DevOps, or similar Cloud exposure: Azure, AWS, or GCP Basic observability: structured logging, understanding of tracing concepts Salary ranges B2B 110 - 136 PLN/ hour EC 14500 - 17800 PLN/ month

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.