AI Engineer
HybridBengaluru, Karnataka, India
Job Summary
Design, build, and own GenAI features for sales intelligence products, including developing prompt templates, chains, and RAG pipelines with vector search. Implement integrations with LLM APIs and orchestration frameworks while deploying and maintaining AI services in production using Kubernetes and FastAPI. Monitor system performance with observability tools and evaluate outputs through systematic testing and iteration. Collaborate on architecture decisions and technical tradeoffs for core product capabilities. Work closely with the AI Pod lead to ship features fast with high ownership, serving enterprise customers at scale as the company scales from $1 mn to $5 mn ARR by 2026.
Required Qualifications
- 5-6 years of experience in software engineering with strong focus on GenAI/LLM applications
- Hands-on experience building production LLM applications and prompt engineering
- Proficiency in Python with experience in FastAPI, Django, or similar frameworks
- Working knowledge of vector databases (Pinecone, Weaviate, Qdrant, Chroma) and embedding models
- Experience with LLM orchestration frameworks (LangChain, LangGraph, or similar)
- Understanding of RAG architectures and semantic search
- Familiarity with Docker, Kubernetes, and cloud platforms (AWS/GCP)
- Strong problem-solving skills and ability to work independently with ownership
- Bachelor's or Master's degree in Computer Science from a top-tier university
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