Staff AI/ML Engineer

🏢 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.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 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 (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker 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) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. 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.

🏢 Summary: Senior AI Software Engineer role focused on AI-driven and agentic coding to design, build and deliver scalable real-time backend systems. The position emphasizes leveraging LLMs, AI agents and automation across the full software lifecycle—from requirements and architecture to testing and deployment. The engineer is responsible for scalable, event-driven architectures, cloud infrastructure and high-volume data processing systems. 🗂️ Requirements: 4–5+ years commercial experience in backend or distributed systems engineering, Experience with LLM APIs, AI agents or workflow automation, Proficiency in at least one backend programming language, Practical experience with cloud platforms (GCP, AWS or Azure), Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker, Understanding of distributed and event-driven architectures 📃 Skills: Python, Java, Go, TypeScript, LLM, API, AI, GCP, AWS, Azure, SQL, NoSQL, Docker, CI/CD, IoT, Microservices, CQRS, CleanArchitecture, ERP, CRM 🏢 Description: AI Software Engineer (Senior) 📍Warszawa (hybrydowo) 💰 Widełki: 24 000 - 28 000 PLN netto B2B Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 Summary: Lead the strategy and architecture of a customer-facing Agentic AI platform, consolidating prompts and driving integration of LLMs, voicebots, and emerging AI capabilities. Own technical prioritization, platform standards, and partnerships (including OpenAI) while ensuring the current AI systems operate reliably. This role blends hands-on prompt engineering with long-term AI platform strategy in a fast-paced startup environment. 🗂️ Requirements: 4+ years in a technical role (e.g., forward deployed engineering, technical product management), Experience with AI systems and modern LLMs, Ability to design and discuss API and system architecture, Experience building scalable, production-grade products, Proficiency in SQL for data analysis, Experience working in fast-paced startup environments 📃 Skills: LLMs, Prompting, APIs, SQL, GitHub, Replit, CRM, Voicebot, AI, MachineLearning 🏢 Description: Why we’re hiring this role: Your car and your home are your most important assets, yet the experience of owning one is fragmented, complicated, and expensive. We are building the first app to manage it all. We launched car insurance in 2019 and became one of the top three brokers in the country, in part by being early adopters of generative AI. Before off-the-shelf platforms existed, we built our own infrastructure to automate sales and service conversations. Today, that system handles a meaningful share of customer interactions end-to-end, and the underlying technology is entirely homegrown. As the system evolved, prompts powering the customer-facing chatbot, vehicle photo validation, and back-office automation now live across six separate locations. There is no single source of truth, no unified platform, and no clear owner of future AI bets such as voicebot, computer use, and consumer AI applications. This role owns that challenge. How you’ll make an impact: Your scope covers two layers: maintaining the current AI platform while driving architectural decisions that determine its future state. In the first few months, you will learn the prompt engineering workflow by writing and updating prompts, understanding how various tech stacks (e.g., Propelix, Botly, CRM, GitHub, and Replit) interact, and identifying bottlenecks. After that, you will own the platform strategy: - Prompt consolidation: Define and execute the strategy to migrate prompts from six locations to a unified platform, aligning engineering, data, operations, and other teams. - Chatbot prioritization: Own the technical prioritization queue and keep the team coordinated without unnecessary process overhead. - Emerging technology decisions: Track advancements in voicebot and computer use, determine when to invest, own the OpenAI relationship, and manage presence in the ChatGPT store. Influence AI investment decisions with a clear point of view. Who you are: - Technologist: Deep interest in AI, actively following new model releases and building custom workflows. - Systems Thinker: Comfortable discussing API design and system architecture and translating complex concepts for varied audiences. - Experimenter: Continuously exploring new AI capabilities. - Data-Driven: Proficient in SQL and comfortable analyzing data to validate hypotheses. - Pragmatic: Able to navigate technical tradeoffs and implement AI platform standards. Ideal experience: - 4+ years in a technical role such as forward deployed engineering or technical product management in a fast-paced startup. - Passion and curiosity for AI systems including modern LLMs. - Proven track record of turning complex strategic ideas into scalable, production-grade products. Compensation and Benefits: The starting pay range for this role is $160K - $200K, determined by skills, experience, qualifications, work location, and market conditions. Compensation may include equity grants. Benefits for regular employees include health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits. Equity opportunities may also be part of the total rewards package.

🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: The offer is for an ML Engineer focused on building and maintaining data pipelines and production-grade machine learning solutions in an Azure-based cloud environment. The role involves working with PySpark, Airflow, Kubernetes, and Infrastructure as Code to develop, deploy, and monitor scalable ML systems. You will contribute to forecasting and commodities projects, ensuring reliable data processing, CI/CD automation, and robust observability. 🗂️ Requirements: Strong experience in Python development for production systems, Hands-on experience with PySpark and distributed data processing, Experience with Airflow for workflow orchestration, Proficiency in Azure cloud services, Practical experience with Infrastructure as Code, Experience automating CI/CD pipelines using GitHub Actions, Experience with data quality monitoring and observability, Experience with Kubernetes and Docker, Ability to deploy and monitor ML models in production, Advanced English (B2/C1 level) 📃 Skills: Python, PySpark, Airflow, Spark, Azure, AzureML, Kubernetes, Docker, Terraform, GitHub, GitHubActions, AzureDevOps, pandas, scikit-learn, numpy, Grafana, Prometheus, Git 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be responsible for building and owning data pipelines on a Spark Kubernetes cluster orchestrated with Airflow using PySpark. You will improve and introduce data validation and monitoring to ensure trustworthy data at every stage. Tasks will include provisioning and managing Azure resources using a mature Infrastructure as Code approach, as well as automating everything with GitHub Actions and maintaining CI/CD workflows. You will enhance monitoring to further improve the reliability and stability of deployed ML solutions using the Grafana/Prometheus stack. Additionally, you will collaborate with cross functional teams to ensure the seamless deployment and serving of ML models and actively shape the project’s technical roadmap and direction. Python Expert Cloud (prefered Azure) Advanced IaC Regular GitHub Actions Regular Pyspark Regular Airflow Regular Experience with observability Nice to have MLOps: Proven ability to productionize models and set up monitoring Nice to have Dashboarding / visualization skills Nice to have Kubernetes Nice to have English Advanced Project Forecasting & Commodities Project Scope As an ML Engineer in Forecasting and Commodities, you will be involved in projects that support critical decision making processes, by applying your Python, PySpark, Kubernetes and Cloud (Azure) skills. You will be working in a technically mature ecosystem, implementing new features and covering new use-cases. Part of your responsibilities will be design and implementation of a data science innovation framework, as well making contributions to an overall engineering best practises of the organization. Responsibilities – Developing libraries, tools, and frameworks that standardise and accelerate development and deployment of machine learning models. – Working in an Azure cloud environment, developing model training code in AzureML. Building and maintaining cloud infrastructure with IaC (infrastructure as code). – Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning. – Diagnosing and resolving technical issues, ensuring availability of high-quality solutions that can be adapted and reused. – Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work. – Championing best practices in code quality, security, and scalability by leading by example. – Taking your own, informed decisions moving a business forward. Tech Stack Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub Project Challenges – Building a system that provides accurate and up-to-date business forecasts, by providing a set of tools that can be easily leveraged by data scientists and analysts. – Streamlining the process of onboarding, deployment and patching new ML pipelines. – Collaborating with cross-functional teams enhancing customer experiences through innovative technologies. – Employing DevOps practises for reproducible patterns in multiple business domains. Team 1 engineer from VL, two from client side What we expect in general: Strong experience in writing high-quality Python code and deploying production-level projects. Proactiveness and a strong sense of ownership, taking full responsibility of project outcomes. Significant experience in Data Engineering, specifically with PySpark, data quality monitoring and workflow orchestration. Proficiency in Azure (or equivalent cloud providers) and hands-on experience with Infrastructure as Code principles. Robust DevOps mindset with practical experience automating CI/CD pipelines via GitHub Actions. A dedicated team player with excellent communication skills who thrives within a cross-functional, collaborative environment. Good command of English (B2/C1 level), comfortable utilizing the language daily. A hybrid model is preferred (2-3 days per week in the Kraków office); alternatively, candidates must be available for on-site collaboration as required (approx. once a month). Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more!

🏢 Summary: The offer is for an ML Engineer role focused on building and maintaining production-ready machine learning pipelines in an Azure-based cloud environment. The position involves deploying models, developing ML frameworks, and supporting forecasting and commodities projects using distributed data processing and DevOps practices. The role combines hands-on engineering with collaboration to standardize and scale AI solutions. 🗂️ Requirements: Strong experience in Python and production-level deployments, Experience with Azure cloud services, Experience with PySpark or other Spark-based distributed processing, Experience with Airflow or similar orchestration tools, Experience with Kubernetes ecosystem, Experience with Docker, Experience with Infrastructure as Code, Experience with CI/CD pipelines, Knowledge of MLOps and model monitoring, Experience with Git version control, Advanced English (B2/C1) 📃 Skills: Python, Azure, AzureML, PySpark, Spark, Airflow, Kubernetes, Docker, Terraform, Git, GitHub, GitHubActions, AzureDevOps, pandas, scikit-learn, numpy, MLOps, CI/CD, IaC 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role Join our team to drive business innovation with production-ready machine learning pipelines. You will play a key role in deploying and maintaining ML workflows, leveraging Azure for cloud computing and on-prem clusters for ETLs. Collaborating closely with Data Scientists, you will contribute to AI-powered projects while shaping the organization’s technical culture. Python Advanced Cloud (prefered Azure) Advanced IaC Regular GitHub Actions Advanced Pyspark Regular Airflow Regular Experience with observability Nice to have MLOps: Proven ability to productionize models and set up monitoring Nice to have Productionize models and set up monitoring Regular Kubernetes Nice to have English Advanced View available projects Project Forecasting and Commodities Project Scope As an ML Engineer in Forecasting and Commodities, you will be involved in projects that support critical decision making processes, by applying your Python, PySpark, Kubernetes and Cloud (Azure) skills. You will be working in a technically mature ecosystem, implementing new features and covering new use-cases. Part of your responsibilities will be design and implementation of a data science innovation framework, as well making contributions to an overall engineering best practises of the organization. Your key responsibilities would be: Developing libraries, tools, and frameworks that standardise and accelerate development and deployment of machine learning models. Working in an Azure cloud environment, developing model training code in AzureML. Building and maintaining cloud infrastructure with IaC (infrastructure as code). Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning. Diagnosing and resolving technical issues, ensuring availability of high-quality solutions that can be adapted and reused. Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work. Championing best practices in code quality, security, and scalability by leading by example. Taking your own, informed decisions moving a business forward. Tech Stack Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git, GitHub. Project Challenges Building a system that provides accurate and up-to-date business forecasts, by providing a set of tools that can be easily leveraged by data scientists and analysts. Streamlining the process of onboarding, deployment and patching new ML pipelines. Collaborating with cross-functional teams enhancing customer experiences through innovative technologies. Employing DevOps practises for reproducible patterns in multiple business domains. Team 3 engineers What we expect in general: Strong experience in writing high-quality Python code and deploying production-level projects. Experience with orchestration tools such as Airflow. Knowledge of Spark or other distributed data processing tools. Experience with Kubernetes ecosystem as a user. Strong experience in Cloud (preferred Azure) and Docker Ability to work in a team and participate in the design process. Strong communicator. Team player with mentoring ability. Proactive and responsible Strategic thinker with big-picture perspective Good command of English (B2/C1). A hybrid model is preferred (2-3 days per week in the Kraków office); alternatively, candidates must be available for on-site collaboration as required (approx. once a month). Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more!

🏢 Summary: Staff Engineer role focused on designing and building advanced LLM observability features to monitor, evaluate, and debug generative AI systems in production. The position involves leading architecture decisions, prototyping and scaling new capabilities, and improving reliability and performance of LLM-based applications. You will work on scalable backend systems that enable tracing, drift detection, and evaluation of AI workloads. 🗂️ Requirements: BS/MS/PhD in Computer Science, Engineering or related field or equivalent experience, Deep understanding of distributed systems, Experience with scalable backend architectures, Hands-on experience building and shipping LLM or GenAI applications, Understanding of model internals and inference pipelines, Knowledge of LLM evaluation techniques, Experience with prompt engineering, Experience with observability tools or platforms 📃 Skills: LLM, GenerativeAI, DistributedSystems, Backend, Observability, Tracing, DriftDetection, ModelEvaluation, Inference, PromptEngineering, Scalability, Architecture 🏢 Description: The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience Deep understanding of distributed systems and scalable backend architectures Hands-on experience building and shipping LLM-powered or GenAI applications. Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset You’re excited to shape the next generation of AI observability tools from the ground up Communicate clearly, think rigorously, and take pride in clean, maintainable code Experience with observability tools/platforms Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Hybrid Professional Services Software Engineer role focused on building and maintaining scalable, customer-facing SaaS applications for learning and community platforms using full-stack development and AI-supported tools. The position involves front-end development, integrations with external systems, data migrations, and collaboration with cross-functional teams to deliver tailored enterprise solutions. Requires overlap with PST and on-site work in Wrocław twice a week. 🗂️ Requirements: 2–4 years of experience with JavaScript/TypeScript and HTML/CSS or Python with OOP, Experience with at least one modern JavaScript framework (Vue or React), Experience in Professional Services or enterprise SaaS implementation, Practical use of AI coding tools in daily development, Knowledge of REST APIs, webhooks, and system integrations, Understanding of CRM systems, databases, and data migration processes, Experience with Git-based workflows and code reviews, Ability to connect front-end applications with external SaaS platforms, Strong English communication skills, Availability for hybrid work in Wrocław and PST time overlap 📃 Skills: JavaScript, TypeScript, Python, HTML, CSS, Vue, React, REST, Webhooks, CRM, SQL, Git, Figma, SSO, ETL, Django, WCAG, PWA, SaaS, OOP 🏢 Description: Please Note: Flexible working hours, overlap with PST a few times/week required Hybrid work model (2 days/week from the office in Wrocław) At least one language (Python or JavaScript) required We are building the future of customer success with AI, helping companies improve customer retention and business growth. Our product uses AI to support the customer journey from onboarding to long-term success and advocacy. More than 2,000 companies use our platform and AI tools to improve learning, product adoption, community engagement, and customer success. About the Role We are looking for a full-time Professional Services Software Engineer to join our Professional Services team in Poland. This is a hybrid position. In this role, you will help create customer-facing solutions by developing scalable applications for learning and community platforms using full-stack development and AI-supported tools. You will work closely with Solutions Architects, Developers, Product teams, and other departments. This role is ideal for someone who enjoys working in a fast-moving environment and has experience with SaaS platforms and modern front-end technologies. What You Will Do Build and maintain front-end components for learning and community platforms, including layouts, navigation, and reusable UI elements. Develop customer learning websites based on Figma designs and create accurate front-end implementations. AI-supported design tools may also be used. Write, test, and deploy code following our GitHub processes while meeting accessibility, security, and performance standards. Work with project managers, engineers, and designers to deliver customer-specific solutions. Support live customer environments by reviewing pull requests, performing QA, and solving issues within agreed timelines. Connect front-end systems with APIs, webhooks, CRM systems, SSO, and other SaaS platforms. Manage and automate customer data migrations between platforms, including bulk imports, data validation, conflict resolution, and reusable migration tools. Help improve shared component libraries to increase reuse and reduce delivery time. Improve internal processes, document technical knowledge, and contribute to AI-supported development and QA initiatives. What We Are Looking For 2–4 years of experience with JavaScript /TypeScript, HTML, and CSS, or Python with understanding of OOP principles. Experience with at least one modern JavaScript framework such as Vue or React. Practical experience using AI coding tools like Claude Code, Cursor, or similar in daily work. Strong written and spoken English skills, with the ability to explain technical decisions clearly. 2–4 years of experience in Professional Services, enterprise software implementation, or similar SaaS environments. Good understanding of CRM systems, databases, SaaS integrations, and data migration processes. Knowledge of REST APIs, webhooks, and MCP-based integrations. Experience working with agile and waterfall project methods. Interest in learning back-end scripting, ETL processes, data migration pipelines, and Python. Nice-to-Have Skills Experience with Python, Django, or similar back-end technologies. Knowledge of LMS or community platforms and customer education systems. Experience with both Vue.js and React. Familiarity with accessibility standards such as WCAG 2.1 AA. Experience with responsive design or Progressive Web Apps (PWA). Why Join Us We value innovation, teamwork, curiosity, and solving real customer problems. Our products support customer success, product experience, online communities, education, and AI-powered relationship management. We believe that diverse teams and strong collaboration create better results and long-term value. We also offer a supportive environment where people can grow, feel connected, and be themselves at work.

🏢 Summary: Hybrid Professional Services Software Engineer role focused on building scalable customer-facing learning and community platforms using full-stack development and AI-supported tools. The position involves front-end development, SaaS integrations, API connections, data migrations, and collaboration with cross-functional teams in a fast-moving environment. Flexible hours are offered with partial overlap with PST and 2 days per week onsite in Wrocław. 🗂️ Requirements: 2–4 years experience with JavaScript, TypeScript, HTML, and CSS or Python with OOP understanding, Experience with Vue or React, Experience using AI coding tools, Strong English communication skills, 2–4 years experience in Professional Services, enterprise software implementation, or SaaS environments, Understanding of CRM systems, databases, SaaS integrations, and data migration processes, Knowledge of REST APIs, webhooks, and MCP-based integrations, Experience with agile and waterfall methodologies, Availability for hybrid work in Wrocław twice a week, Availability for occasional PST overlap 📃 Skills: JavaScript, TypeScript, HTML, CSS, Python, OOP, Vue, React, Claude, Cursor, CRM, REST, APIs, Webhooks, MCP, GitHub, Figma, SaaS, ETL, Django, WCAG, PWA 🏢 Description: Please Note: Flexible working hours, overlap with PST a few times/week required Hybrid work model (2 days/week from the office in Wrocław) At least one language (Python or JavaScript) required We are building the future of customer success with AI, helping companies improve customer retention and business growth. Our product uses AI to support the customer journey from onboarding to long-term success and advocacy. More than 2,000 companies use our platform and AI tools to improve learning, product adoption, community engagement, and customer success. About the Role We are looking for a full-time Professional Services Software Engineer to join our Professional Services team in Poland. This is a hybrid position. In this role, you will help create customer-facing solutions by developing scalable applications for learning and community platforms using full-stack development and AI-supported tools. You will work closely with Solutions Architects, Developers, Product teams, and other departments. This role is ideal for someone who enjoys working in a fast-moving environment and has experience with SaaS platforms and modern front-end technologies. What You Will Do Build and maintain front-end components for learning and community platforms, including layouts, navigation, and reusable UI elements. Develop customer learning websites based on Figma designs and create accurate front-end implementations. AI-supported design tools may also be used. Write, test, and deploy code following our GitHub processes while meeting accessibility, security, and performance standards. Work with project managers, engineers, and designers to deliver customer-specific solutions. Support live customer environments by reviewing pull requests, performing QA, and solving issues within agreed timelines. Connect front-end systems with APIs, webhooks, CRM systems, SSO, and other SaaS platforms. Manage and automate customer data migrations between platforms, including bulk imports, data validation, conflict resolution, and reusable migration tools. Help improve shared component libraries to increase reuse and reduce delivery time. Improve internal processes, document technical knowledge, and contribute to AI-supported development and QA initiatives. What We Are Looking For 2–4 years of experience with JavaScript /TypeScript, HTML, and CSS, or Python with understanding of OOP principles. Experience with at least one modern JavaScript framework such as Vue or React. Practical experience using AI coding tools like Claude Code, Cursor, or similar in daily work. Strong written and spoken English skills, with the ability to explain technical decisions clearly. 2–4 years of experience in Professional Services, enterprise software implementation, or similar SaaS environments. Good understanding of CRM systems, databases, SaaS integrations, and data migration processes. Knowledge of REST APIs, webhooks, and MCP-based integrations. Experience working with agile and waterfall project methods. Interest in learning back-end scripting, ETL processes, data migration pipelines, and Python. Nice-to-Have Skills Experience with Python, Django, or similar back-end technologies. Knowledge of LMS or community platforms and customer education systems. Experience with both Vue.js and React. Familiarity with accessibility standards such as WCAG 2.1 AA. Experience with responsive design or Progressive Web Apps (PWA). Why Join Us We value innovation, teamwork, curiosity, and solving real customer problems. Our products support customer success, product experience, online communities, education, and AI-powered relationship management. We believe that diverse teams and strong collaboration create better results and long-term value. We also offer a supportive environment where people can grow, feel connected, and be themselves at work.