About the role

Senior AI Engineer developing and experimenting with LLMs and REST APIs. Engaging with AI-assisted coding tools and ensuring backend system optimization in a remote setting.

Responsibilities

8 – 10 Years of experience
2+ years of experience developing and experimenting with LLMs
8+ years of experience developing APIs with Python
Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents)
Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI
Grounding in NLP and machine learning as they relate to building LLM systems
Strong experience working with key LLM models APIs (e.g., OpenAI, Anthropic)
Experience building, deploying, and securing MCP servers at scale
Understanding of multi-agent systems and their applications in complex problem-solving scenarios
Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy
Experience with prompt writing for various use cases
Experience with generative solutions released to prod, at scale, beyond POCs
Proficiency with server-side events, event-driven architectures, and messaging systems
Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems
Solid understanding of security best practices for backend systems, including authentication and data protection
Experience developing AI/ML technologies within large and business critical applications
Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics