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: 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: 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

🏢 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: The offer is for a Python AI Engineer to design and build GenAI agents using frameworks like LangChain and LangGraph, deployed on AWS. The role focuses on creating RAG-based solutions, integrating vector databases, and ensuring reliable, secure operation of LLM-powered services. The engineer will work in an Agile team to deliver production-ready AI systems with proper monitoring, documentation, and compliance. 🗂️ Requirements: 2+ years of Python development experience, Experience with LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, LangChain, LangGraph, AWS, Docker, Git, CI/CD, LLM, GenAI, RAG, VectorDB, Embeddings, PromptEngineering 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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: The role involves architecting and deploying advanced AI-driven applications using Azure AI services and modern generative AI frameworks. The position focuses on building scalable knowledge retrieval systems, intelligent AI agents, and integrating AI capabilities into existing products. It requires strong expertise in cloud-native, containerized, and MLOps-driven environments. 🗂️ Requirements: Practical experience with Azure AI ecosystem, Experience with GitHub and DevOps methodologies, Strong programming skills in Python, Hands-on experience with embeddings and text chunking, Experience with vector search solutions, Experience with FastAPI and Pydantic, Experience with pymongo and Azure SDKs, Experience designing scalable AI systems, Experience building document processing pipelines, Experience with cloud-native infrastructures 📃 Skills: Azure, AzureOpenAI, AzureDocumentIntelligence, OCR, LangChain, RAG, CAG, MongoDB, PostgreSQL, Python, FastAPI, Pydantic, pymongo, Docker, GitHub, DevOps, MLOps, Embeddings, VectorSearch, JSON 🏢 Description: We are looking for a skilled AI Full-Stack Developer to architect, implement, and deploy advanced AI-driven applications. The ideal candidate will work with Azure AI services, MongoDB Atlas, LangChain-based workflows, RAG/CAG frameworks, and containerized environments (Docker), while leveraging modern AI agent technologies. Key Responsibilities Design and implement Generative AI solutions using Azure OpenAI, Azure Document Intelligence, OCR capabilities, and other Azure cloud services. Work closely with front-end and back-end teams to seamlessly embed AI functionalities into existing systems. Review and maintain high-quality code for AI service integrations, ensuring best practices and performance standards are met. Create scalable knowledge retrieval systems using LangChain, RAG/CAG approaches, and vector databases—primarily MongoDB Atlas—with working knowledge of PostgreSQL. Develop intelligent AI agents capable of autonomous reasoning, planning, and interaction with external tools. Support and promote AI-augmented development practices with tools such as GitHub Copilot or Factory AI. Requirements Practical experience with the Azure AI ecosystem, GitHub, DevOps methodologies, generative AI architectures, and vector search solutions. Strong programming skills in Python and familiarity with modern MLOps and DevOps environments. Hands-on experience with embeddings and text chunking strategies, JSON and markup formats, FastAPI, Pydantic, pymongo, and Azure SDKs. Proven expertise in designing scalable AI systems, document processing pipelines, and cloud-native infrastructures. Strong communication abilities and experience collaborating within cross-functional teams.

🏢 Summary: On-site Junior AI Python Developer role in Wroclaw focused on building and maintaining AI/ML-driven automation solutions. The position involves integrating LLMs and machine learning models into production, developing scalable APIs and data pipelines, and supporting CI/CD-based deployments. You will collaborate with Data Science and Infrastructure teams to deliver reliable, high-performance intelligent systems. 🗂️ Requirements: 1+ years software development experience, Strong Python proficiency, Knowledge of data structures, Knowledge of algorithms, Understanding of object-oriented programming, Understanding of concurrency, Familiarity with AI/ML/LLM concepts, Experience building AI-powered automation tools, Experience with CI/CD pipelines, Experience with RESTful APIs, Experience with AWS, Fluent English, Legal right to work in the EU 📃 Skills: Python, AI, ML, LLM, REST, AWS, Docker, Kubernetes, Jenkins, GitLab, CICD, Algorithms, DataStructures, OOP, Concurrency, APIs 🏢 Description: Wroclaw-based opportunity with on-site work model. As a Junior AI Python Developer , you will be working for our client, a forward-thinking leader in AI/ML technologies. You will contribute to building, maintaining, and evolving automation solutions powered by the latest artificial intelligence and machine learning models. Join a dynamic team focused on transforming complex data into actionable insights and pioneering the future of intelligent automation. Your main responsibilities: Design, develop, and maintain automation tools and systems utilizing AI/ML technologies. Collaborate with Data Science and Infrastructure teams to integrate large language models (LLMs) and machine learning models into production environments. Build and manage scalable APIs and real-time data processing pipelines for inference and analytics. Develop, test, and deploy CI/CD pipelines to ensure reliable and repeatable deployment processes. Stay updated with the latest advancements in AI/ML and apply relevant innovations to enhance business and research workflows. Optimize and troubleshoot existing solutions to improve performance and efficiency. Act as a proactive owner of your projects, delivering high-quality results in a fast-paced setting. You're ideal for this role if you have: 1+ years of professional software development experience. Strong proficiency in Python programming. Solid understanding of core computer science fundamentals, including data structures, algorithms, object-oriented programming, and concurrency. Familiarity with AI/ML/LLM concepts and the ability to collaborate effectively with Data Science teams. Experience building automation tools and services, especially those powered by AI. Exposure to CI/CD pipelines and tools like GitLab CI, Jenkins, Docker, and Kubernetes. Experience developing RESTful APIs and working with cloud platforms such as AWS. A problem-solving mindset with a willingness to take ownership of your work. It is a strong plus if you have: Additional certifications or experience in cloud solutions or container orchestration. Practical knowledge of scalable deployment architectures. Language Required for the role : Fluent English (verbal and written) Eligibility for the role : Only candidates with an existing legal right to work in the European Union will be considered for this role. We offer you: ITDS Business Consultants is involved in various, innovative, and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes: Stable and long-term cooperation with very good conditions Enhance your skills and develop your expertise in the financial industry Work on the most strategic projects available in the market Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years Participation in Social Events, training, and work in an international environment Access to an attractive Medical Package Access to Multisport Program #GETREADY Internal job ID #8840 You can report violations in accordance with ITDS’s Whistleblower Procedure available here .

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 Summary: The offer is for a Python AI Engineer responsible for building and deploying GenAI agents using agentic frameworks like LangChain and LangGraph on AWS. The role focuses on developing RAG pipelines, integrating vector databases, ensuring reliability and safety, and collaborating within an Agile team. It combines hands-on LLM engineering with cloud deployment, monitoring, and compliance in a healthcare-related context. 🗂️ Requirements: 2+ years of Python development experience with recent focus on LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases, embeddings and prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, LangChain, LangGraph, AWS, RAG, LLM, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, AgenticAI, Logging, Monitoring 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications 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.