Back to SearchLead Python Full-Stack Engineer (AI Integration)
Hybrid in The United Kingdom: London
Python.AI
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We’re looking for a Lead Python Full-Stack Engineer (AI Integration) to join our team in the United Kingdom in a hybrid working mode. In this role, you will lead the design and delivery of enterprise-grade solutions, combining backend development, modern front-end capabilities and AI/ML integrations in a cloud-native environment. You will drive architectural decisions, enforce engineering best practices and provide technical guidance on critical design aspects while contributing to complex engineering tasks.
Responsibilities
- 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
Requirements
- 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