We’re looking for a GenAI Engineer to build scalable, production-grade AI systems within a modern, service-oriented architecture.

This role is ideal for someone who combines strong software engineering fundamentals with hands-on experience in LLMs and AI applications, and enjoys designing clean, modular systems that scale.

You’ll design and develop Python-based microservices and orchestrators, following best practices like Single Responsibility Principle (SRP) and low-coupling architecture.

A key part of the role is taking AI ideas into production, building reliable, testable systems that integrate seamlessly across teams and environments.

Tech & Environment

• Python (core), AWS Lambda
• Microservices architecture
• React / Node.js / TypeScript (full-stack exposure)
• SQL / NoSQL databases
• Strong focus on TDD, clean code, and system design

AI Focus

• Building AI-powered applications (LLMs, RAG, vector databases)
• Multi-agent frameworks (e.g., LangGraph)
• LLM fine-tuning and production deployment
• Scaling AI features from concept → production

What We’re Looking For

• 5+ years in software engineering
• Strong Python and backend architecture experience
• Proven experience delivering production-level AI features
• Solid understanding of async programming, OOP, and system design
• Experience with testing, monitoring, and scalable deployments

Additional Information

• Fully remote
• 12 month contract