Senior AI Engineer
CodeRound is hiring for this role for a VC-backed startup.
- Backend Engineer
- Python
- AI Engineer
- LangChain
- LangGraph
- LLMs
- RAG
- Vector Databases
- Applied AI
- SaaS
- Startup Experience
We are looking for a Backend + AI Engineer with strong expertise in Python and deep hands-on experience with LangChain, LangGraph, and related frameworks. You’ll be responsible for designing scalable backend systems while integrating AI/LLM pipelines into production. This role is ideal for engineers who can bridge backend fundamentals with applied AI, and who thrive in fast-moving startup environments.
What you'll do
- Architect and develop backend services in Python, integrating AI pipelines into production systems.
- Build and optimize LLM applications using LangChain, LangGraph, and related libraries.
- Design APIs to expose AI features to frontend and mobile applications.
- Work with vector databases, embeddings, and retrieval pipelines for RAG systems.
- Ensure scalability, performance, and reliability of AI-driven backend services.
- Collaborate with product, AI/ML, and frontend teams for end-to-end delivery.
- Stay ahead of the latest developments in LLM orchestration frameworks and apply them effectively.
Must have
-3+ years of experience in AI / Backend Engineering -Strong proficiency in Python -Experience building scalable backend services and APIs -Hands-on experience with LLM applications in production -Strong knowledge of LangChain, LangGraph, or similar LLM orchestration frameworks -Experience with RAG systems, embeddings, and retrieval pipelines -Familiarity with vector databases -Ability to ensure scalability, performance, and reliability of AI-driven systems
Good to have
-Experience designing APIs for frontend / mobile AI features -Exposure to AI platform / enterprise SaaS products -Strong understanding of LLM orchestration and workflow design -Experience working with cross-functional teams across product, frontend, and AI/ML -Ability to own end-to-end AI backend delivery -Experience optimizing production AI infrastructure -Familiarity with modern AI frameworks and tooling ecosystem -Experience in a startup / high-growth environment