Full-Stack Software Engineer (AI-Native)
Summary
Mid-to-senior full-stack engineer at outsourcing firm Luxoft, building an AI-enabled platform for a client that optimizes large-scale renewable and traditional energy portfolios. Works on backend services/APIs on relational data, TypeScript frontend features, and scaling agentic-AI workflows. Stack: Ruby on Rails, Node.js/TypeScript, Python, Vue, PostgreSQL, Snowflake, AWS.
Project description
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, Vue, PostgreSQL, Snowflake and AWS.
Responsibilities
- Work closely with product teams to help define and execute technical criteria Design and build backend services and APIs, including system-to-system integrations, on relational data Model complex, evolving business domains into clear schemas and API contracts Ship end-to-end features, including TypeScript frontend work Help scale AI-native development across the team: shared AI workflows, tooling and CI/CD integration
SKILLS
Must have
- Mid-to-senior engineer with strong backend and data fundamentals Production experience with relational databases and data/domain modeling Production experience in one of Ruby (preferred), Node.js/TypeScript (preferred) or Python. Fundamentals matter more than language Experience designing and building APIs AWS or another enterprise cloud platform AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD Strong English and communication skills
Nice to have
Building LLM features on enterprise AI platforms (AWS Bedrock preferred) Exposure to energy, utilities or sustainability data
