Lead AI Software Developer

🏢 Summary: Senior-level role focused on designing and delivering scalable AI/ML solutions, including LLMs, RAG, and agent-based systems, from architecture to production deployment. The position involves leading technical decisions, writing high-quality Python code, and building cloud-based microservices solutions. The role also requires translating business needs into robust, production-ready AI systems. 🗂️ Requirements: Several years of software development experience (senior-level), Strong Python proficiency, Solid understanding of ML/AI ecosystem (LLMs, NLP, deep learning), Hands-on experience with RAG, prompt engineering, agent-based systems, Experience with microservices architecture, Experience with databases, Experience with Kubernetes, Experience with CI/CD pipelines, Experience with Azure cloud, English proficiency 📃 Skills: Python, LLMs, RAG, NLP, DeepLearning, PromptEngineering, Microservices, Databases, Kubernetes, CICD, Azure, GCP, Java 🏢 Description: Responsibilities: Design and develop scalable AI/ML solutions (LLMs, RAG, agentic systems) Write high-quality, testable Python code Lead technical architecture and make key design decisions for critical projects Own end-to-end delivery of solutions, from design to production deployment Collaborate with business stakeholders and translate requirements into technical solutions Requirements: Several years of experience as a software developer (senior-level preferred) Very strong Python skills and solid understanding of the ML/AI ecosystem (LLMs, NLP, deep learning) Hands-on experience with RAG, prompt engineering, and agent-based systems Experience with microservices architecture, databases, Kubernetes, and CI/CD pipelines Experience with Azure cloud (GCP as a plus) Basic familiarity with Java is a plus Strong English communication skills

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: Hybrid Python AI Developer role focused on building AI-powered services and automation solutions using Large Language Models and agent-based workflows. The position involves developing RAG-based bots and assistants, implementing agentic workflows, and collaborating on high-quality AI frameworks. It offers the opportunity to work on advanced LLM solutions in a dynamic, innovation-driven environment. 🗂️ Requirements: Minimum 3 years of experience in software development with Python, Practical knowledge of LangChain and LangGraph, Experience with RAG, embeddings, vector search, LLM agents, agentic workflows, tool calling, At least 1 year of hands-on experience with LLM models, RAG, and AI agents in real projects, Proficiency with Git (branch management, rebase, cherry-pick, revert, squash), Familiarity with Jira, Confluence, Bitbucket, Competent command of Polish, Communicative level of English, Legal right to work in the European Union 📃 Skills: Python, LangChain, LangGraph, RAG, LLM, Embeddings, VectorSearch, Git, Jira, Confluence, Bitbucket, Azure, React, Streamlit, Databricks, CosmosDB, Redis, Grafana 🏢 Description: Unleash the future of AI by building innovative Large Language Model solutions that redefine automation and intelligence. Warszawa-based opportunity with hybrid work model (4 days remote, 1 day in the office). As a Python AI Developer , you will be working for our client, a leading innovator in AI technology. You will contribute to developing cutting-edge services and applications supporting automation processes, leveraging advanced LLM solutions and agent-based workflows. This role offers a chance to be at the forefront of AI innovation and accelerate your career growth in a dynamic environment. Your main responsibilities: Build AI-powered services and applications in Python to support automation initiatives. Develop bots and assistants based on Large Language Models, including RAG solutions and multi-step task agents. Implement agentic workflows: define roles, manage tools, and oversee execution processes. Work with internal and new AI frameworks, ensuring high quality and alignment with best practices. Collaborate with cross-functional teams to troubleshoot, analyze issues, and optimize solutions. Maintain adherence to development standards and contribute to continuous improvement initiatives. Document system designs and participate in architectural discussions. You're ideal for this role if you have: Minimum 3 years of experience in software development, particularly with Python. Practical knowledge of LangChain and LangGraph. Experience with RAG, embeddings, vector search, LLM agents, agentic workflows, and tool calling. At least 1 year of hands-on experience with LLM models, RAG, and AI agents in real projects. Proficiency with Git, including branch management and commit operations (rebase, cherry-pick, revert, squash). Familiarity with Jira, Confluence, Bitbucket. Strong problem-solving skills and ability to work independently in a collaborative environment. It is a strong plus if you have: Knowledge of Azure AI Stack (AI Foundry, Azure OpenAI, Azure AI Search). Experience with React, Streamlit, Databricks, Cosmos DB, Redis, or Grafana. Understanding of ML fundamentals and fine-tuning LLMs. Skills in high-level system architecture design and documentation. Language Required for the role: Polish – competent command. English – communicative level. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data. Please be prepared for a live coding session during the interview process, where your technical skills will be thoroughly evaluated.

🏢 Summary: Senior-level role focused on building AI-driven backend applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The position involves developing scalable APIs, integrating retrieval pipelines, and deploying services in cloud environments. The role combines advanced AI implementation with solid backend engineering practices. 🗂️ Requirements: 5+ years commercial experience in Python development, Strong backend engineering experience (APIs, services, integrations), Hands-on experience with LLMs, Hands-on experience with RAG implementations, Experience with Azure, AWS, or GCP, Knowledge of software development best practices 📃 Skills: Python, LLMs, RAG, Azure, AWS, GCP, APIs 🏢 Description: Senior Python AI Developer We are looking for an experienced Python Developer to join a team building modern AI-driven applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) , alongside standard backend development work. Key Responsibilities Develop and maintain backend services and APIs in Python Build AI-enabled application features using LLMs and RAG workflows Design and integrate retrieval pipelines for contextual AI responses Work with databases, external APIs, and internal systems Deploy and operate services in Azure or other cloud environments Write clean, testable, and scalable production code Requirements 5+ years of commercial experience in Python development Strong background in backend engineering (APIs, services, integrations) Hands-on experience with LLMs and RAG implementations Cloud experience with Azure , AWS, or GCP Solid understanding of software development best practices Tech Stack Python LLMs, RAG Azure (or other cloud platforms)

🏢 Summary: Senior AI Engineer role focused on building and deploying production-grade AI solutions using Python, FastAPI, Azure, Generative AI, RAG, and agentic frameworks in a hybrid work model. The position includes backend architecture, AI pipeline development, MLOps ownership, and mentoring responsibilities. 🗂️ Requirements: 6–10 years of software engineering experience, Strong AI/ML engineering background, Expertise in Python, Expertise in FastAPI, Experience with LLMs, Experience with RAG pipelines, Experience with vector databases, Hands-on experience with agentic AI frameworks, Production experience with Azure cloud services, Knowledge of MLOps, Experience with Docker, Experience with Kubernetes, Experience with CI/CD 📃 Skills: Python, FastAPI, Azure, LLMs, RAG, Pinecone, Milvus, LangChain, LangGraph, AutoGen, CrewAI, Docker, Kubernetes, CI/CD, MLOps, AKS 🏢 Description: Location: Wroclaw, Poland (Hybrid: 3 days/week in-office) Experience: 6–10 years About the Role We are looking for a Senior AI Engineer to design, develop, and deploy production-grade AI solutions using Python, FastAPI, and Azure, with a strong focus on Generative AI, LLMs, RAG, and agentic frameworks. Key Responsibilities Architect and implement scalable backend services with Python and FastAPI . Build and optimize RAG pipelines using vector databases (e.g., Pinecone, Milvus, Azure Cognitive Search). Develop autonomous agents using agentic AI frameworks (LangChain, LangGraph, AutoGen). Deploy and manage AI workloads on Azure (Azure ML, AKS, OpenAI Service). Own the full ML lifecycle: experimentation, versioning, CI/CD, and monitoring. Mentor junior engineers and drive technical best practices. Required Skills 6–10 years of software engineering experience, with strong focus on AI/ML. Expert in Python and FastAPI . Deep experience with LLMs , RAG , and vector databases . Hands-on experience with agentic frameworks (LangChain, CrewAI, etc.). Production experience with Azure cloud services. Strong understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD.

🏢 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: Experienced Python Engineer role focused on building and deploying AI-driven features using LLM technologies, with real impact on product direction and technical decisions. The position involves developing LLM/NLP models, orchestrating AI agents, optimizing performance for real-time applications, and collaborating directly with clients and cross-functional teams. Fully remote B2B role with competitive compensation and flexible working hours. 🗂️ Requirements: 5+ years of experience in Software Engineering, AI, ML or related field, Hands-on experience with LLMs or NLP in production environments, Experience with RAG, vector search or agent-based LLM architectures, Strong Python programming skills, Experience deploying models or pipelines using FastAPI, Ability to ensure statistical accuracy in model evaluation and lifecycle tracking, Fluency in Polish (B2+), Fluency in English (B2+) 📃 Skills: Python, LLM, NLP, RAG, VectorSearch, AgentArchitectures, NumPy, Pandas, Scikit-learn, FastAPI, MachineLearning, AI 🏢 Description: The role We're looking for an experienced Python Engineer to join our team and help build cutting-edge solutions using LLM technologies. If you enjoy having real impact on product direction, making key technical decisions, and working directly with clients- this role is for you. What you’ll do Work on the development and deployment of AI-driven features, ensuring timely delivery and continuous iteration Participate in client meetings to discuss progress, architecture, and system capabilities Build and improve LLM/NLP-based data extraction and analysis models Develop and orchestrate AI agents capable of handling multi-step, tool-augmented workflows Optimize system performance for real-time and large-scale applications Ensure statistical accuracy in lifecycle tracking and model evaluation Collaborate closely with product managers, engineers, and other stakeholders What we’re looking for 5+ years of experience in SE/AI/ML or a related field Hands-on experience with LLMs or NLP in production environments Experience with RAG, vector search, or agent-based LLM architectures Solid Python skills (NumPy, Pandas, Scikit-learn, etc.) Experience deploying models or pipelines using FastAPI Strong communication skills – your input will help shape the roadmap Comfortable working in a bilingual environment (Polish B2+, English B2+) Bonus points: Experience with Computer Vision What we offer 26 000 - 33 000 PLN net + VAT monthly, B2B 100% remote setup and flexible hours Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️ Referral bonuses Equipment of your choice (MacBook by default) Interesting, challenging projects - we only take on the ones we believe in :-)

🏢 Summary: The offer is for a Senior Cloud Native Developer to design and deliver scalable, secure cloud-native applications with AI at the core. The role focuses on Python-based microservices, cloud platforms, infrastructure automation, observability, and building AI-powered solutions such as LLM applications and RAG pipelines. It combines deep software engineering expertise with hands-on cloud and AI integration experience. 🗂️ Requirements: 3+ years of hands-on software development experience with strong focus on Python, Proven experience designing, developing and deploying microservices applications, Strong knowledge of cloud-native principles, Hands-on experience with cloud services including containerization and serverless computing, Deep experience with at least one cloud platform: Azure, AWS or GCP, Experience implementing application monitoring and logging, Practical experience with AI-powered development tools, Experience building AI-integrated solutions using LLM APIs, RAG pipelines or AI agents, English proficiency at Upper-Intermediate (B2) level or higher 📃 Skills: Python, Microservices, Azure, AWS, GCP, Docker, Kubernetes, Serverless, CI/CD, IaC, Monitoring, Logging, LLM, RAG, OpenAI, AzureOpenAI, GitHubCopilot, LangChain, LangGraph, LlamaIndex, Pinecone, pgvector 🏢 Description: We are looking for a Senior Cloud Native Developer passionate about building scalable, resilient, and observable cloud-native applications with AI at the core. The ideal candidate combines deep Python expertise with hands-on cloud engineering experience and the ability to design and deliver AI-powered solutions. Responsibilities Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design managed database solutions for efficient data management Implement observability through monitoring and logging Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning Drive continuous integration and deployment practices for rapid and automated application delivery Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents Requirements 3+ years of hands-on experience in software development with a strong emphasis on Python Proven experience designing, developing, and deploying microservices applications Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing Deep Experience with cloud platform (Azure, AWS, or GCP) Hands-on experience implementing application monitoring and logging Practical AI knowledge across two dimensions: leveraging AI-powered development tools (GitHub Copilot, Cursor, or similar) to accelerate delivery, and experience building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, or integrations with Azure OpenAI / OpenAI) English language proficiency at Upper-Intermediate level (B2) or higher Nice to have Cloud platform certifications (Azure, AWS, or GCP) Experience with AI/LLM frameworks and tooling: LangChain, LangGraph, LlamaIndex, vector stores (Azure AI Search, pgvector, Pinecone) Familiarity with AI orchestration patterns: multi-agent systems, evaluator-optimizer loops, retrieval-augmented generation Knowledge of advanced cloud-native architectures We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Python AI Engineering role focused on building production-grade GenAI, RAG, and agentic systems for client engagements. The position involves end-to-end ownership of AI solutions, including architecture, delivery, evaluation, and client communication in a fast-paced consulting environment. Candidates will work with scalable APIs, LLM pipelines, and cloud AI services while ensuring quality, observability, and performance. 🗂️ Requirements: 5+ years commercial Python experience, 3+ years hands-on GenAI/LLM engineering, Experience building scalable services and APIs, Experience with FastAPI, Flask, or Django, Experience writing test suites with pytest, Experience building RAG pipelines, Knowledge of embeddings and vector search, Experience with agentic workflows and tool-calling, Strong prompt engineering skills, Experience with structured outputs and JSON schemas, Experience with Pydantic or equivalent, Experience with AWS, Azure, or GCP, Understanding of managed AI/ML services, Ability to evaluate relevance, latency, consistency, and cost, High-proficiency written and spoken English 📃 Skills: Python, GenAI, LLM, FastAPI, Flask, Django, pytest, RAG, Embeddings, VectorSearch, ToolCalling, PromptEngineering, JSON, Pydantic, Instructor, AWS, Azure, GCP, Bedrock, OpenAI, LangGraph, LangSmith, LlamaIndex, Pinecone, Weaviate, Milvus, pgvector 🏢 Description: We're growing our Python AI Engineering team - the group that builds GenAI systems clients actually run, not proof-of-concepts that die after the demo. Expect real agentic/RAG systems, real users, and evaluation data that tells you whether what you built actually works. Depending on fit and timing, you'll be matched to one of several active or upcoming client engagements - each with its own domain, constraints, and stack, but the same bar for engineering quality. You are a good fit for the role if... You default to shipping, not just designing - a proactive, "getting things done" attitude in a fast-paced, client-facing setup where the interesting problems rarely come pre-scoped in a ticket. You own the AI lifecycle end to end - ideation, architecture, delivery, evaluation - and you're comfortable being the technical voice in the room: proposing the approach, defending it with data (evals, latency, cost), and adjusting it when the data says you're wrong. You can translate engineering constraints into terms a client stakeholder acts on - not just "this won't scale" but why, what the tradeoff actually costs them, and what a workable alternative looks like. Good technical judgment shows up as much in how you explain a constraint as in identifying it. You treat client pushback as a design input, not an obstacle - sometimes it reveals a real business constraint you were missing, sometimes it's a shortcut worth resisting. Telling those two cases apart, and being able to argue either side with evidence, is the actual skill. Our expectations 5+ years commercial Python experience, including 3+ years of hands-on GenAI/LLM engineering. Solid engineering fundamentals: building scalable services/APIs (FastAPI, Flask, or Django), writing real test suites (pytest), clean and modular architecture. Hands-on experience building RAG pipelines - retrieval, embeddings, vector search. Working knowledge of agentic patterns: tool-calling, function-calling, multi-step reasoning workflows. Strong prompt engineering skills, including structured outputs (JSON schemas, Pydantic, Instructor or equivalent). Experience with at least one major cloud platform (AWS, Azure, or GCP), including its managed AI/ML services (e.g., Bedrock, Azure OpenAI). An "evals mindset" - you think about relevance, consistency, latency, and cost as real engineering concerns, not afterthoughts. High-proficiency written and spoken English - you'll use it daily with clients and teammates. Welcome Skills Experience with orchestration frameworks beyond the basics - LangGraph, LangSmith, LlamaIndex. Hands-on with a specific vector database (Pinecone, Weaviate, Milvus, pgvector) beyond "I integrated one once." Experience building evaluation frameworks or golden-dataset pipelines specifically (as opposed to just using one). Exposure to data pipeline work feeding AI systems - understanding how data quality/freshness affects model behavior. Prior client-facing / consulting experience in a professional-services or consulting setup. Key tasks Design and build Python services and APIs that wrap LLM-powered functionality. Build and maintain agentic and RAG pipelines: retrieval, reranking, tool-calling, multi-step reasoning, structured outputs. Care about quality beyond "it works" - evals, observability, and the data that tells you when something regresses. Work directly with clients: translate fuzzy business requirements into architecture decisions, and explain your technical tradeoffs to non-technical stakeholders. Work across a distributed, multi-market team and client organizations.

🏢 Summary: Senior Cloud Native Developer role focused on building scalable cloud-native and AI-powered applications using Python and modern cloud technologies. The position involves developing microservices, implementing observability and Infrastructure as Code, and delivering LLM-based and RAG solutions. Offers flexible remote work, professional development opportunities, and comprehensive benefits. 🗂️ Requirements: 3+ years of software development experience with Python, Experience designing, developing, and deploying microservices applications, Strong knowledge of cloud-native principles, Hands-on experience with cloud services, containerization, and serverless computing, Experience with Azure, AWS, or GCP, Experience implementing application monitoring and logging, Experience with AI-powered development tools, Experience building AI-integrated solutions, English proficiency at B2 level or higher 📃 Skills: Python, Azure, AWS, GCP, Microservices, Containerization, Serverless, Observability, Monitoring, Logging, IaC, CI/CD, LLM, RAG, OpenAI, Copilot, Cursor, LangChain, LangGraph, LlamaIndex, Pinecone, pgvector 🏢 Description: We are looking for a Senior Cloud Native Developer passionate about building scalable, resilient, and observable cloud-native applications with AI at the core. The ideal candidate combines deep Python expertise with hands-on cloud engineering experience and the ability to design and deliver AI-powered solutions. Responsibilities Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design managed database solutions for efficient data management Implement observability through monitoring and logging Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning Drive continuous integration and deployment practices for rapid and automated application delivery Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents Requirements 3+ years of hands-on experience in software development with a strong emphasis on Python Proven experience designing, developing, and deploying microservices applications Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing Deep Experience with cloud platform (Azure, AWS, or GCP) Hands-on experience implementing application monitoring and logging Practical AI knowledge across two dimensions: leveraging AI-powered development tools (GitHub Copilot, Cursor, or similar) to accelerate delivery, and experience building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, or integrations with Azure OpenAI / OpenAI) English language proficiency at Upper-Intermediate level (B2) or higher Nice to have Cloud platform certifications (Azure, AWS, or GCP) Experience with AI/LLM frameworks and tooling: LangChain, LangGraph, LlamaIndex, vector stores (Azure AI Search, pgvector, Pinecone) Familiarity with AI orchestration patterns: multi-agent systems, evaluator-optimizer loops, retrieval-augmented generation Knowledge of advanced cloud-native architectures We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.