Senior AI Engineer

🏢 Summary: The offer is for a senior Python Engineer to build and scale AI-powered recruiting products based on agentic AI systems. The role focuses on developing Python microservices, designing AI agents, and integrating them into enterprise-grade cloud infrastructure. You will work on high-traffic, distributed systems that power intelligent hiring assistants used at global scale. 🗂️ Requirements: Minimum 5 years of backend development with Python, Experience building Python microservices, Experience designing and developing RESTful APIs, Experience with Kafka, MongoDB, or PostgreSQL, Strong understanding of distributed systems design and debugging, Experience with AWS cloud environment, Experience with Docker or Kubernetes, Knowledge of test automation techniques, Very good English level (B2/C1) 📃 Skills: Python, REST, Kafka, MongoDB, PostgreSQL, AWS, Docker, Kubernetes, Kibana, Grafana, Prometheus, NLP, MachineLearning, AI 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business” (yes, we are heavily influenced by this and that ). Job Description We are looking for an experienced Python Engineer to join our Chat group that builds innovative, data-driven recruiting products powered by next-generation agentic AI systems. You’ll be working closely with our team of AI/ML engineers to scale up applications powered by NLP, Machine Learning and AI agents. You’ll be responsible for implementing and maintaining AI agentic systems that connect people to jobs at scale. Together with our dedicated platform team, you ensure a seamless integration of new services into the existing infrastructure, at enterprise-level service reliability and security. We partner and collaborate with R&D leaders, product managers, designers, and engineers to design and develop intelligent AI agent-powered solutions that transform how companies identify, engage and hire the best talent. Our products are used by thousands of customers and affect the experience of millions of job candidates. As a key member of our team, you’ll have a unique opportunity to help us achieve our goals using cutting-edge technology. At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs.You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes. We’re not just building chat systems - we’re building the AI recruiting assistants of the future. Important: the position is available only under a standard contract of employment (umowa o pracę) with 80% of tax deductible cost. What You’ll Do: Participate in the full life-cycle of the product (including ideation, problem discovery, prototyping, design, implementation, and measuring adoption) Design and develop services with Python on top of Kubernetes/AWS infrastructure as well as connect to our persistence layer (Kafka, MongoDB, PostgreSQL) Build and document developer-friendly RESTful APIs Design and build AI agents that can handle high traffic load and concurrency And the most important - bring your own product ideas to life You will work with passionate people (our Engineering teams are located in Berlin and Krakow) so that, together, we can reach one of the most important goals of today - to connect people to jobs at scale. Qualifications: Minimum 5 years of experience in back-end development using Python microservices, working with modern RESTful APIs, and designing a persistence layer (e.g. Kafka, MongoDB, PostgreSQL) Strong understanding of distributed software systems; how to design, operate and debug them Experience within Data Engineering, data processing pipelines (nice to have) Strong understanding of test automation techniques, because our goal is to automate it all Familiarity with Amazon AWS, containerization software (Docker/Kubernetes), and monitoring/analysis tools (Kibana/Grafana/Prometheus) Extensive experience in building AI powered products (LLM agents) Nice to have: experience in building AI agents (design for non-deterministic systems, monitoring AI quality, etc.) Very good level of English (both verbal and written), B2/C1 level Sharing of SmartRecruiters's values and willingness to make an impact in the HRTech world Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Senior Software Engineer role focused on building and evolving an Internal Developer Platform to improve engineering productivity and delivery efficiency. The position involves developing internal tools and services on top of Kubernetes and AWS, owning the CI/CD platform, and supporting runtimes and frameworks. This role combines hands-on backend development with technical leadership in a distributed systems environment. 🗂️ Requirements: 5+ years professional experience in software engineering, Strong experience in distributed systems design, Deep knowledge of Java, Experience building and maintaining CI/CD systems, Experience with Kubernetes and AWS, Experience designing RESTful APIs, Understanding of persistence layer design, Experience across full product lifecycle, Ability to troubleshoot complex technical issues, Fluent English (written and spoken) 📃 Skills: Java, Python, Node, Go, Kubernetes, AWS, Docker, CI/CD, JVM, Spring, REST, SQL 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business” (yes, we are heavily influenced by this and that ). Job Description The SmartRecruiters Internal Engineering Team is looking for a Senior Software Engineer to strengthen and expand our Delivery & Developer Experience team . If you are passionate about automation, platforms, and frameworks, we have a spot with your name on it! Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. You may be located anywhere in Poland and work remotely or out of our Cracow office. What you’ll deliver: Contribute to an Internal Developer Platform by building internal products used by other engineers from the organisation Cooperate closely with other Platform and Product Engineering teams on strategic initiatives Focus on boosting the Engineering Productivity and Delivery Efficiency across the organizstion, and interact directly with engineers to discover opportunities that will drive that impact Build & document services/libraries/tools with Java/Python/Node/Go on top of Kubernetes/AWS infrastructure Own and evolve our CI/CD platform Support our runtimes (e.g. JVM, Node.js) & frameworks (e.g. Spring Boot) Establish technical direction for the team and the organisation Troubleshoot and resolve technical issues in components owned by the team Qualifications: Experience with distributed systems design (design for failure, eventual consistency, asynchronous communication, circuit breaking, timeouts, etc.) Experience in supporting the end-to-end product lifecycle Strong experience in using CI/CD systems (ideally also in creating them) Deep command of the Java programming language Hands-on experience with c lean code principles, and effective code reviews Good understanding of persistence layer design and RESTful API design Excellent collaboration and communication skills Strong command of the English language, both written and verbal Familiarity with AWS and Kubernetes/Docker is a must Ability to coach and mentor other engineers Adequate seniority - ideally demonstrated by professional experience (typically 5+ years for our Senior Engineers) Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company-wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Platform-focused frontend engineering role responsible for building and scaling a shared design system and UI foundation across multiple product teams, improving consistency, accessibility, and developer efficiency. The position drives cross-team standards, migrations, and adoption while creating reusable components and AI-assisted automations to enhance frontend platform capabilities. It requires senior-level experience influencing frontend architecture beyond a single team. 🗂️ Requirements: Experience building or evolving design systems or shared UI foundations, Experience influencing frontend architecture and technical standards across multiple teams, Strong hands-on experience with modern frontend development in production environments, Experience collaborating closely with Engineering and Design teams, Minimum 5 years of software engineering experience, Experience driving cross-team technical initiatives 📃 Skills: JavaScript, TypeScript, HTML, CSS, WebComponents, Lit, Angular, Monorepo, Microfrontends, AI, Automation 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. Job Description This is a platform role for someone who helps many product teams, not just one. Their job is to spot repeated frontend problems across the organization, turn them into shared design system and platform solutions, and make sure teams actually adopt them. They improve consistency, accessibility, and developer efficiency by building reusable foundations, guiding migrations, and scaling improvements through automation. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What you’ll do Lead design system efforts as part of the frontend platform, building a shared UI foundation that scales across product teams Discover recurring needs and friction across product teams, and turn them into reusable components, tooling, and workflows Define and maintain shared standards, documentation, contribution models, and governance for UI consistency, accessibility, and long-term maintainability Drive alignment, adoption, and migrations across teams, helping replace local patterns with shared solutions Build AI-assisted automations and agentic workflows that help scale platform improvements, reduce manual effort, and improve consistency across teams Qualifications: Must have qualifications: Experience building or evolving design systems, shared UI foundations, or frontend platforms used by multiple teams Experience influencing frontend architecture, standards, or technical decisions beyond a single team Strong hands-on experience building production frontend applications with modern web technologies Strong collaboration skills and experience working closely with Engineering and Design partners Senior-level experience, typically 5+ years in software engineering, with a track record of driving cross-team technical work Nice to have qualifications: Experience with Web Components, ideally Lit Experience working across Angular environments Experience with monorepos, microfrontends, or shared frontend tooling Experience with inner source or platform engineering ways of working Experience building AI-assisted automations or agentic workflows that improve platform work at scale Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Senior Frontend Platform Engineer role focused on building and evolving shared frontend foundations, standards, and golden paths across multiple product teams. The position drives consistency, reliability, and scalability of frontend architecture, including AI-assisted automation and platform improvements. It involves cross-team technical leadership to improve developer workflows and long-term maintainability. 🗂️ Requirements: 5+ years software engineering experience, Experience building frontend platforms or design systems used by multiple teams, Experience defining frontend architecture and technical standards, Experience improving developer workflows and frontend reliability, Strong hands-on experience with modern frontend development, Experience with Node.js or similar backend technology, Experience working with frontend-facing APIs or BFFs, Experience driving cross-team technical initiatives 📃 Skills: JavaScript, TypeScript, Node.js, HTML, CSS, Accessibility, APIs, BFF, CI, Automation, AI, Frontend, Architecture 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. Job Description We are looking for an engineer with a strong platform mindset who can make development more consistent, reliable, and scalable across many product teams and applications. You will help define golden paths, improve shared frontend foundations, strengthen standards such as accessibility and verification, and support product teams through tooling, migrations, governance, and automation. The primary focus is on a broader frontend platform impact and making the codebase easier to change, including with AI-assisted workflows. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What you’ll do Build and evolve frontend platform foundations that help product teams deliver consistently across many applications Discover recurring needs and friction across product teams, and turn them into reusable patterns, tooling, workflows, and golden paths Define and maintain shared standards, documentation, contribution models, and governance for frontend consistency, accessibility, reliability, and long-term maintainability Drive alignment, adoption, and migrations across teams, helping replace inconsistent local patterns with shared, supported solutions Build AI-assisted automations and agentic workflows that help scale platform improvements, reduce manual effort, and improve consistency across teams Qualifications: Must have qualifications: Senior-level experience, typically 5+ years in software engineering, with a track record of driving cross-team technical work Experience building or evolving frontend platforms, shared engineering foundations, golden paths, or design systems used by multiple teams Experience influencing frontend architecture, standards, or technical decisions beyond a single team Experience improving developer workflows, frontend reliability, or delivery consistency across multiple applications or team Strong hands-on experience building production frontend applications with modern web technologies Experience with Node.js or comparable backend technology, especially in the context of BFFs, frontend-facing APIs, or full-stack platform work Strong collaboration skills and experience working across Engineering, Design, and product teams to drive adoption of shared solutions Nice to have qualifications: Experience working across Angular environments Experience with monorepos, microfrontends, or shared frontend tooling Experience improving build, test, CI, or verification loops for frontend teams Experience with inner source or platform engineering ways of working Experience with Web Components, ideally Lit Public speaking, presentation, or facilitation skills that help share standards, explain platform changes, and drive adoption across teams Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Senior Site Reliability Engineer role focused on strengthening reliability and observability of a large-scale cloud platform. The position involves driving SRE best practices, improving monitoring and automation, and partnering with product teams to design resilient services. The engineer will lead incident response, enhance tooling, and support scalable, distributed systems in a cloud-native environment. 🗂️ Requirements: 7+ years professional engineering experience, Strong knowledge of SRE practices (SLIs, SLOs, error budgets, incident management, on-call), Experience with JVM-based systems, Hands-on experience with AWS or other cloud providers, Experience with Kubernetes and distributed systems, Experience with Infrastructure as Code, Deep knowledge of Linux administration and troubleshooting, Strong scripting skills (Bash, Golang or Python), Experience with monitoring and observability tools, Ability to manage and troubleshoot production incidents 📃 Skills: AWS, Kubernetes, Linux, Bash, Golang, Python, JVM, Java, Node.js, IaC, TCP/IP, DNS, VPN, SQL, NoSQL, Observability, Monitoring, Docker 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business” (yes, we are heavily influenced by this and that ). Job Description The SmartRecruiters Internal Engineering Team is looking for a Senior Site Reliability Engineer to our reliability initiatives and help us strengthen the reliability and observability of our platform at scale. If you are passionate about cloud, networking, observability, and partnering with product teams to curate reliability practices, we have a spot with your name on it! Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. You may be located anywhere in Poland and work remotely or out of our Cracow office. What you’ll deliver: Cooperate closely with other Platform and Engineering teams on strategic reliability and observability initiatives across SmartRecruiters Improve, automate and grow SmartRecruiters observability and reliability tooling (metrics, logs, traces, alerting) Respond to production incidents and client threats, lead remediation, and drive follow‑up improvements Partner with product engineers working in Java, Node.js, and Python to design, instrument, and operate services for failure, owning SLIs/SLOs and error budgets together Create reusable building blocks (dashboards, alerts, libraries and IaC modules) that can be rolled out company‑wide Mentor members of the engineering team and act as an advocate for modern SRE and observability practices Document standards, best practices, and policies for monitoring, alerting, incident response, and reliability Conduct capacity planning and performance testing of platform We want you to: Make a difference Have a positive, can-do attitude Do the right thing, not the "easy" thing Give and receive support from our awesome engineering team Qualifications: While not strictly required, we see most of our Senior Engineers have 7+ years of professional experience Working knowledge of SRE and observability industry standards and best practices (SLIs/SLOs, error budgets, incident management, on‑call) Engineering experience in JVM stack Experience with AWS (or other cloud provider), Kubernetes, and IaC tools and practices, including running and troubleshooting distributed applications Proven track record of delivering solutions for reliability, monitoring, and container management Deep knowledge of the Linux operating system, with a focus on system hardening and troubleshooting performance issues Very good scripting skills (Bash, Golang or Python) Experience managing and troubleshooting database systems, both SQL and NoSQL is a plus Solid understanding of networking standards, including TCP/IP, DNS, VPN and load balancing is a plus Comfortable partnering with teams to design resilient data access and use database observability to prevent and resolve incidents Strong communication skills, with a good understanding of English, both verbal and written, and the ability to coach and influence other engineers Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company-wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Opportunity to join a newly formed AI team in the banking sector to build a modern AI-native platform from scratch. The role focuses on designing and delivering production-grade solutions using LLMs, RAG, and agent-based architectures, while shaping AI strategy and architectural decisions. You will develop secure, transparent, and scalable AI systems that drive real business value in a regulated financial environment. 🗂️ Requirements: At least 3 years of experience in AI/ML, Minimum 5 years of experience in product development, Strong Python skills, Hands-on experience with LLMs, RAG, and agent-based systems in production, Experience with AI frameworks such as Agno, LangChain, LlamaIndex or similar, Knowledge of prompt engineering and AI model evaluation, Experience with Azure or AWS, Understanding of vector databases and embeddings, Experience with workflow orchestration tools (Temporal, Prefect, Airflow), Ability to design scalable and reliable AI solutions, Experience in model monitoring and MLOps practices, Ability to make architectural decisions and assess business value of AI, Fluent English 📃 Skills: Python, LLM, RAG, LangChain, LlamaIndex, Agno, Azure, AWS, Temporal, Prefect, Airflow, MLOps, Embeddings, VectorDB 🏢 Description: We are looking for an experienced Senior AI Engineer to join a newly formed AI team delivering a strategic initiative in the banking sector. This is a unique opportunity to co-create a modern AI-native platform from scratch and influence the direction of AI within the organisation. In this role, you will design and develop solutions based on LLMs, RAG systems, and agent-based architectures to support data integration and transformation processes. You will contribute to key decisions around AI strategy, model selection, architecture, and quality standards. We are seeking a candidate with strong technical skills and hands-on experience in building production-grade AI solutions—someone who understands where AI brings real business value and can deliver high-quality, transparent, and secure solutions in a financial environment. Your tasks Design and develop solutions based on LLMs, RAG, and agent-based architectures Co-create and execute an AI strategy for a modern banking platform Select models, frameworks, and approaches for production-grade AI solutions Build systems for data integration, transformation, and validation automation Define prompt engineering, model evaluation, and AI quality standards Develop monitoring, evaluation, and continuous improvement mechanisms Collaborate with engineering and product teams on new features Ensure high quality, transparency, and auditability of AI outputs Contribute to key architectural decisions and AI direction Mentor and share knowledge within the AI team Requirements At least 3 years in AI/ML and a minimum of 5 years in product development Strong Python skills Hands-on experience with LLMs, RAG, and agent-based systems in production Familiarity with frameworks such as Agno, LangChain, LlamaIndex, or similar Knowledge of prompt engineering and AI model evaluation Experience with Azure or AWS Understanding of vector databases and embeddings Experience with workflow orchestration tools (e.g., Temporal, Prefect, Airflow) Ability to design scalable, reliable AI solutions Experience in model monitoring and MLOps practices Capability to make architectural decisions and assess the business value of AI Strong collaboration skills with technical and business stakeholders Fluent English Nice-to-have requirements Previous work in financial services, fintech, or other regulated industries Knowledge of compliance, auditability, and AI security Familiarity with MLOps and large-scale ML/LLM deployments Experience fine-tuning open-source models for specific domains Proven track record in developing AI solutions for data platforms, analytics, or SaaS products Background in AI R&D projects Publications, conference speaking, or open-source contributions Experience building and scaling technical teams What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 Summary: Backend Engineer role focused on building and scaling the core architecture behind AI Agents, including reasoning layers, RAG systems, and high-volume conversational infrastructure. The position involves designing agentic orchestration, modernizing legacy systems, and integrating AI capabilities into scalable microservices running in production. You will work hands-on with LLM integrations, vector databases, and cloud-native infrastructure to support millions of daily conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on expertise in Node.js, Strong hands-on expertise in TypeScript, Experience with async programming, queues, and streams, Experience with real-time communication (WebSockets, service-to-service messaging), Commercial experience implementing RAG and Agentic systems in production, Experience with Function Calling and LLM integrations, Deep understanding of context management and multi-turn conversations, Experience with SQL databases (PostgreSQL), Experience with NoSQL databases (Elasticsearch), Experience with Vector Databases and embeddings, Experience with Google Cloud Platform, Experience with Kubernetes, Ability to design and maintain RESTful APIs, Experience working with microservices and scalable systems 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, LangGraph, LLMs, RAG, MCP, PubSub, WebSockets, SSE, Webhooks, Prometheus, Grafana, Vitest, Supertest, Playwright, Go, ETL, Microservices, Concurrency, Async, Streams, Queues, GitHubActions 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Senior Backend Engineer role focused on building and scaling the core AI backend powering advanced AI Agents, including reasoning layers, RAG systems, and real-time integrations. The position involves designing scalable architectures, implementing agentic orchestration with tool calling, and modernizing legacy systems into a high-performance AI ecosystem. You will work hands-on with Node.js and TypeScript to deliver production-ready AI-driven features handling millions of conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on Node.js experience, Strong hands-on TypeScript experience, Fluency in async programming, queues, streams, Experience with WebSockets and async messaging, Commercial experience implementing RAG systems, Experience with Function Calling in production, Experience building Agentic systems, Context window and multi-turn conversation management, Experience with SQL and NoSQL databases, Experience with Vector Databases and embeddings, Experience with GCP and Kubernetes, Experience with microservices architecture, Experience with Docker-based deployments 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, PubSub, WebSockets, SSE, LLMs, LangGraph, RAG, MCP, GitHub, Prometheus, Grafana, Vitest, Supertest, Playwright, Go 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 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: Senior Engineer role focused on architecting and building an AI-powered web platform that enables conversational interaction with enterprise data using LLMs. The position covers end-to-end development from React/TypeScript frontend to backend services and LLM orchestration, ensuring scalable, production-grade solutions. The role includes technical leadership, mentoring, and implementation of best engineering practices. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science or related field, Experience building production web applications with React and TypeScript, Experience with Power BI, semantic models, DAX, Power BI Embedded or REST APIs, Hands-on experience with LLM integration, prompt engineering, and multi-turn conversation orchestration, Proficiency with LLM frameworks such as Vercel AI SDK, LangChain, Azure OpenAI or OpenAI APIs, Strong understanding of context management and preventing context degradation, Strong backend development skills in Node.js and/or Python, Experience building APIs, async workflows, and service integrations, Experience with state management and server-state patterns (TanStack Query, SWR or similar), Ability to lead and mentor junior engineers, Experience with CI/CD, Git-based workflows, testing, and secure development practices 📃 Skills: React, TypeScript, TanStack, PowerBI, DAX, REST, AzureOpenAI, OpenAI, LangChain, VercelAI, Node.js, Python, LLM, CI/CD, Git, Databricks, Spark, Next.js, Remix, Pinecone, Weaviate, Azure, SQL 🏢 Description: We are building an AI-powered data platform at P&G that transforms how individuals/teams interact with their data by moving beyond static dashboards to a conversational, action-oriented experience. The platform enables users to "chat with their data" against Power BI semantic models, Databricks, and other enterprise data sources. We are looking for a Senior Engineer to own the technical architecture and development of this platform from the React/TypeScript frontend to the LLM integration layer. You will also mentor junior developers and help grow the team's capabilities in modern web development and applied AI. Job Responsibilities: Architect and build a production-grade web application using React, TypeScript, and TanStack (Router, Query) as the unified interface for conversational data exploration and actionable workflows, Design and implement "chat with your data" features using LLMs (Azure OpenAI), streaming chat interfaces (e.g., Vercel AI SDK), and structured context management strategies to maintain accuracy across multi-turn conversations, Build LLM orchestration layers that manage context injection, prevent context degradation, and ensure high-quality responses as conversation complexity grows, Develop API services and server-side logic (TypeScript/Node.js, Python a plus) that orchestrate between the frontend, LLM providers, and enterprise data sources, Implement agentic AI patterns , function calling, tool use, and multi-step reasoning, to enable intelligent data exploration beyond simple Q&A, Translate business requirements into technical solutions by collaborating with analytics teams, data engineers, and business stakeholders, Lead and mentor junior developers, establish coding standards, code review practices, and a culture of continuous learning, Champion engineering best practices: CI/CD, Git-based workflows, testing, and secure development — ensuring the platform is reliable, scalable, and maintainable. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, Experience with building production web applications with React and TypeScript , Experience with Power BI , semantic models, DAX, Power BI Embedded, or REST APIs, Hands-on experience with LLM integration , prompt engineering, context window management, multi-turn conversation orchestration, and streaming chat interfaces, Proficiency with LLM frameworks and tools : Vercel AI SDK, LangChain, Azure OpenAI / OpenAI APIs, or similar, Strong understanding of context management strategies , preventing context degradation over extended conversations through structured prompting, summarization, and selective context injection, Strong backend skills in Node.js and/or Python , building APIs, async workflows, and service integrations, Experience with state management and server-state patterns (TanStack Query, SWR, or similar), Demonstrated ability to lead and mentor junior engineers, Strong problem-solving skills and ability to work autonomously in ambiguous, fast-moving environments, Excellent communication skills, able to explain technical concepts to non-technical stakeholders. Nice to Have Experience with Databricks, Spark, or similar data platforms, Experience with TanStack Start or similar full-stack React meta-frameworks (Next.js, Remix), Knowledge of vector databases (Pinecone, Weaviate, Azure AI Search) for retrieval-augmented workflows, Experience with Azure cloud services (Azure Containerized Apps, Azure App Service, Azure AI), Background in data engineering, pipelines, ETL, SQL. What we offer Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning. Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance. Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one. Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings. Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents. At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.