Lead Python Full-Stack Engineer (AI Integration)

EPAM Systems, Inc.

London, UK

10 days ago

Apply on www.indeed.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

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

+20 more

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

Job 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

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

Benefits & conditions

EPAM Employee Stock Purchase Plan (ESPP)
Protection benefits including life assurance, income protection and critical illness cover
Private medical insurance and dental care
Employee Assistance Program
Competitive group pension plan
Cyclescheme, Techscheme and season ticket loans
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
Learning and development opportunities including in-house training and coaching, professional certifications, and courses
If otherwise eligible, participation in the discretionary annual bonus program
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program