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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Python Full-Stack Engineer (AI Integration) - **Company:** EPAM Systems, Inc. - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Applications Architecture, Application Integration Architecture, Microsoft Azure, Cloud Engineering, Continuous Integration, DevOps, Django Web Framework, Github, Python (Programming Language), Machine Learning, Microsoft SQL Server, NoSQL, Software Engineering, SQL Databases, TypeScript, Data Processing, ReactJS, Flask (Web Framework), Large Language Models, Data Build Tool (dbt), Generative AI, Backend, Fastapi, Containerization, Graphql, Machine Learning Operations, Api Design, Restful APIs, Docker, Databricks, Microservices - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cfbb1c40ef51d256 ## About the Role * Minimum 5+ years of professional experience in software engineering with a focus on backend and full-stack development * Strong proficiency in Python and frameworks such as FastAPI, Flask or Django * Hands-on leadership experience in guiding full-stack delivery and architecture decisions * Expertise in React.js and TypeScript for building modern user interfaces * Working knowledge of GenAI and AI/ML model integration such as Azure OpenAI, LangChain * Practical experience with CI/CD pipelines (GitHub Actions preferred) * Deployment experience on Microsoft Azure, including containerized solutions with Docker * Strong understanding of SQL databases (Microsoft SQL Server or equivalent) and NoSQL concepts * Familiarity with microservices, API-first architecture and DevOps principles Nice to have * Knowledge of Azure AI Foundry, MLOps workflows and observability for AI models * Hands-on experience with Databricks for data processing in analytics-driven solutions * Understanding of RAG architectures, vector databases and advanced conversational AI patterns * Familiarity with tools for documentation and developer productivity such as dbt (data build tool) and MKDocs * Previous experience in energy, financial or utilities domains ## Description * Drive architecture decisions and define full-stack solution design in alignment with project goals * Lead end-to-end development of scalable Python-based backend services and RESTful/GraphQL APIs * Oversee implementation of modern front-end interfaces using React.js and TypeScript * Integrate AI/ML and GenAI capabilities (LLM-based solutions) into production applications * Ensure adherence to coding standards, testing strategy and CI/CD practices for high-quality releases * Collaborate with stakeholders and cross-functional teams to deliver technical roadmaps and milestones * Guide DevOps integration for containerization and deployment on Microsoft Azure * Optimize application architecture for performance, scalability, and security in a cloud-native context ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)