GenAI Python Developer

🏢 Summary: Remote B2B opportunity for a Python Developer with GenAI experience to work on a long-term project focused on building and integrating AI systems, including agentic architectures and autonomous agents. The role involves developing AI-driven solutions, integrating APIs, and working with async or streaming data in a modern development environment. 🗂️ Requirements: Minimum 3 years of Python development experience or proven fast learning with demonstrable results, Hands-on experience with AI systems and agentic AI architectures, Experience with API integration and async or streaming data processing, Proficient in Git including branches, pull requests, and merge conflict resolution, Basic knowledge of relational databases and SQL, Ability to work from Poland and attend office at least two days per week 📃 Skills: Python, GenAI, AI, APIs, AsyncIO, Git, SQL, Postgres, LangChain, LangGraph, AzureDevOps, CI/CD, VectorDB, Embeddings, PromptEngineering, Scrum 🏢 Description: We are looking for a Python Developer with GenAI on behalf of our client, a well-known and fast-growing technology company offering a stable, long-term project in a modern environment. 📍Remote from Poland B2B contract Required Key Skills GEN AI Engineer 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems, preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Must Have 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems , preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Good to Have Experience with LangChain, LangGraph, or similar frameworks for building AI workflows Familiarity with Azure DevOps pipelines (CICD) Knowledge of vector databases, embeddings, or prompt engineering Experience working in a Scrum team Exposure to multi-agent systems, memory management in LLMs, or advanced orchestration techniques 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Senior Python Engineer role focused on designing and developing GenAI applications, including architecture, backend services, and AI integrations. The position involves building and maintaining APIs and microservices, integrating GenAI models (e.g., RAG, agentic workflows), and ensuring high-quality, well-tested solutions in cloud environments. The role requires close collaboration across the full project lifecycle while driving technical excellence in AI-powered systems. 🗂️ Requirements: 6+ years of experience in Python development, Fluency in Python ecosystem, Experience with FastAPI or Flask, Experience with SQL and NoSQL databases, Knowledge of clean code and design patterns in Python, Experience writing unit tests, Experience integrating GenAI models into business applications, Knowledge of RAG and agentic workflows, Experience building APIs and microservices, Familiarity with AWS, GCP, or Azure, Familiarity with Continuous Deployment, English C1, Polish C1 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, APIs, Microservices, AWS, GCP, Azure, CI/CD, UnitTesting 🏢 Description: 🚀 You will be responsible for: Design architecture of GenAI applications, Design, develop, and maintain Python code in AI applications and components, Code review and identification of areas of improvments, Collaborate with data scientists and machine learning engineers to utilize AI models in the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations to measure the performance of GenAI models, Stay up-to-date with the latest advancements in GenAI technologies, Contribute to a collaborative and innovative team culture. Additional advantages, but not required directly for the position: Knowledge of another object-oriented programming language (Java/C#/C++) Knowledge of Machine Learning algorithms and libraries (scikit-learn, PyTorch) 👉 What you will need: At least 6 years of experience and fluency in Python development ecosystem, Experience in building back-end services in Python with frameworks like FastAPI (or Flask ), SQL and NoSQL databases , Knowledge of clean code and design patterns in Python , strong attitude to build well structured, high quality solutions, Experience in writing robust unit tests for developed applications, Experience in using GenAI models in building business applications, Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies, Familiarity with Continuous Deployment lifecycle, Excellent problem-solving and analytical skills, Ability to work independently and as part of a team, Very good knowledge of English (C1) and Polish (C1) Strong communication and documentation skills 👉 What we offer: The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies. A supportive and collaborative work environment that fosters professional growth . Competitive remuneration and various bonuses, such as access to private medical care ( Medicover or Luxmed ) and sport ( Multisport ) cards, reimbursement for English classes , access to the Employee Capital Plan ( PPK ) and b udget for professional development. We mostly work remotely , but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions. Non-work-related activities galore! We have a running team (with a pro coach), internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program . Company culture rooted in respect and cooperation, not competition . You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.

🏢 Summary: The offer is for a Tech Lead Python Developer with GenAI expertise to design and implement modern, high-performance AI-driven applications and architectures. The role focuses on LLM-based solutions, agentic AI patterns, RAG systems, and scalable cloud deployments. It also includes technical leadership, documentation, deployments, and supporting junior developers. 🗂️ Requirements: Degree in Computer Science or related field, Minimum 2 years experience in similar role, Advanced Python experience (3+ years), Advanced SQL experience, Experience with AWS, Azure or GCP, Experience with SQL and NoSQL databases, Deep understanding of LLMs (transformers, embeddings, tokenization, APIs), Experience with prompt engineering and orchestration tools, Experience with agentic AI design patterns, Experience with RAG systems improvement or evaluation, Strong Python software engineering practices, Experience with code reviews, debugging, testing, version control, Experience with CI/CD pipelines, Experience with containerization and enterprise deployments, Knowledge of logging, monitoring and alerting systems, Understanding of data security, anonymization and masking, Ability to design scalable, resilient, secure systems, Experience with API design and microservices architectures, Knowledge of IAM, RBAC, secrets management and network security, Experience developing web applications and large-scale data systems 📃 Skills: Python, SQL, AWS, Azure, GCP, NoSQL, LLM, Transformers, Embeddings, Tokenization, LangChain, LangGraph, SemanticKernel, CrewAI, RAG, CI/CD, GitHub, AzureDevOps, Docker, Kubernetes, API, Microservices, Serverless, Containers, IAM, RBAC, VPC, Firewalls 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Tech Lead Python Developer with GenAI Responsibilities: Design and implement modern applications Contribute to high-performance solution architecture Create clear, maintainable project documentation Participate in software deployments and collaborate with users to resolve issues Present solutions and their implementations to clients Approach solution creation creatively within the project cycle Support junior developers in the team Requirements: Degree in computer science or a related field Approximately 2 years of experience in similar roles Advanced Python and SQL experience (3+ years) Familiar with AWS, Azure, GCP cloud platforms Experience with SQL/NoSQL databases Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations Proficiency in prompt engineering and orchestration tools (e.g. LangChain, LangGraph, Semantic Kernel, Crew AI) Expertise in agentic AI design patterns Experience in improving and/or evaluating RAG systems Familiarity with emerging AI trends and standards Strong Python software engineering skills with coding standards and best practices Experience with code reviews, debugging, testing, and version control Familiar with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes) Experience containerizing AI solutions and deploying across enterprise environments Ability to integrate logging, monitoring, and alerting systems Strong understanding of security of data applications, experience with anonymization and data masking Strong problem solving using systems thinking and first principles Ability to design scalable, resilient, and secure end-to-end systems Expertise in API design, event-driven architectures, microservices, serverless, and containers Familiarity with enterprise integration patterns (messaging, publish, event sourcing) Knowledge of IAM, RBAC, secrets management, and network security (VPCs, firewalls) Experience in developing web applications and systems processing large data sets Offer: Private medical care Co-financing for the sports card Training & learning opportunities Constant support of dedicated consultant Employee referral program

🏢 Summary: B2B Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

🏢 Summary: The role involves designing and building GenAI-powered services in healthcare using Python, focusing on creating RAG-based LLM agents and deploying scalable solutions on AWS. The engineer will develop, deploy and maintain AI agents with proper monitoring, guardrails and data compliance. The position requires strong full-stack and AI expertise to deliver reliable, production-ready intelligent systems. 🗂️ Requirements: 5+ years of Python or ReactJS development experience, Recent hands-on experience with LLM or GenAI projects, Hands-on expertise with LangChain, LangGraph or similar frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, ReactJS, LangChain, LangGraph, LLM, GenAI, RAG, AWS, Docker, Git, CI/CD, Testing, Embeddings, VectorDB, Prompting 🏢 Description: We are seeking a Senior Python AI Engineer (Full Stack) to design and build intelligent GenAI-powered services that solve real business challenges in the healthcare space. In this role, you will develop Python services that power GenAI agents, create retrieval-augmented generation flows, and deploy scalable solutions on AWS while collaborating with cross-functional teams to deliver reliable and safe AI experiences. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Create 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 Collaborate 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 5+ years of experience in Python or ReactJS development, with recent focus on LLM or GenAI projects Hands-on expertise in 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 Familiarity with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews 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 Background in 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: Senior Data Engineer role focused on building and optimizing data integration and retrieval solutions that power Generative AI systems, including AI agents and RAG pipelines. The position involves designing scalable data pipelines and Python-based microservices integrated with large-scale GenAI platforms. The engineer will contribute to architecture and ensure high performance, reliability, and security of data services. 🗂️ Requirements: 5+ years of experience in software or data engineering with strong focus on Python, Hands-on experience with FastAPI and microservices, Experience with API-driven architectures, Experience with databases or data platforms (MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar), Understanding of vector stores, embeddings or semantic search concepts, Experience with cloud platforms (GCP or Azure), Solid understanding of Unix/Linux environments, Strong debugging skills 📃 Skills: Python, FastAPI, Microservices, APIs, MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst, GCP, Azure, Linux, Unix, Vectorstores, Embeddings, SemanticSearch, Debugging 🏢 Description: Senior Data Engineer (Python / GenAI) 📍 Location: Kraków, Poland (hybrid: 2 days in the office, 3 days remote) 📄 B2B Contract: 210 – 260 PLN / hour We are looking for a proactive Senior Data Engineer (Python / GenAI) to join an international team building advanced data integration and retrieval solutions powering Generative AI across the organization. You will work closely with Engineers, Architects and AI Specialists to design, build and optimize data flows that directly support AI agents, RAG pipelines and large‑scale GenAI applications. This role sits within a collaborative engineering environment and offers the opportunity to influence architecture, development standards and the overall quality of next‑generation AI‑driven systems. Key Responsibilities: Design and develop data integration components enabling GenAI models to access and process data from multiple internal systems. Build and maintain data transfer pipelines ensuring scalability, reliability and security. Develop Python‑based microservices (FastAPI) integrated with broader GenAI platforms. Work with vector stores, memory stores and RAG pipelines to optimize data retrieval and context generation for AI agents. Collaborate with cross‑functional teams to align data integrations with overall GenAI architecture. Implement monitoring, observability and performance tuning for data services. Participate in Agile ceremonies: sprint planning, reviews, retrospectives and daily stand‑ups. Requirements: 5+ years of experience in software or data engineering with strong focus on Python . Hands‑on experience with FastAPI , microservices and API‑driven architectures. Experience with databases and data platforms such as MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar. Understanding of vector stores , embeddings or semantic search concepts. Experience working with cloud platforms (GCP or Azure). Solid understanding of Unix/Linux environments. Strong debugging skills and ability to clearly communicate findings. Nice to Have: Experience with RAG pipelines , context engineering or evaluation systems. Knowledge of Google ADK or similar AI development toolkits. Experience with memory stores or caching systems. Exposure to GenAI platforms, LLM‑based solutions or AI agents. Familiarity with DevOps practices and CI/CD pipelines. What We Offer: Long‑term cooperation within a high‑impact, innovative AI programme. Real influence on architecture, engineering standards and data integration strategy. Work in a multicultural, distributed environment. Private medical care (LuxMed) and Multisport card. Stable B2B contract with competitive hourly rate. To learn more about Antal, please visit www.antal.pl

🏢 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: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal products. The position centers on integrating LLM-based models via APIs, building enterprise-grade microservices, and collaborating with Data Scientists in a distributed Agile team. Work involves productionizing AI models within the Azure ecosystem, with emphasis on structured, secure, and high-quality implementations. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience in enterprise-scale environments, Experience building and consuming APIs, Ability to work in regulated or structured environments, English proficiency at C1 or strong B2 level 📃 Skills: Python, LLM, GenAI, APIs, RAG, Azure, AzureOpenAI, Microservices, REST, VectorDB 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal enterprise products. The position involves integrating LLM-based models via APIs, building microservices, and deploying production-ready AI applications in an Azure-based environment. Work is primarily backend development with partial focus on GenAI/LLM integration in a distributed Agile team. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience building and consuming APIs, Experience with enterprise-scale systems, Ability to work in regulated or structured environments, English proficiency at B2 or higher 📃 Skills: Python, GenAI, LLM, API, Azure, AzureOpenAI, RAG, Microservices, REST, VectorDB, Git, Agile 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 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.