We’re hiring an AI Developer to help us build and scale production-grade AI agents. This role focuses on agentic systems that use RAG, vector databases, and structured tool use to deliver reliable outcomes. You’ll work end-to-end—from architecture to deployment—on AI systems that go well beyond prompt experiments.
What You’ll Do
- Build and maintain AI agents capable of reasoning, planning, and executing tasks
- Design and implement Retrieval-Augmented Generation (RAG) pipelines
- Apply effective data chunking, embedding, and retrieval strategies
- Integrate vector databases into agent workflows
- Use and extend AI agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
- Connect agents to APIs, internal systems, and external tools
- Optimize prompts, agent logic, and memory for reliability and performance
- Deploy, monitor, and iterate on AI systems in production
- Collaborate closely with product and engineering teams
Requirements
- Strong proficiency in Python and/or JavaScript/TypeScript
- Hands-on experience building AI agents or LLM-powered applications
- Practical experience with RAG architectures
- Solid understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)
- Experience with data chunking, embeddings, and retrieval tuning
- Familiarity with AI agent frameworks such as LangChain, LlamaIndex, AutoGen, or similar
- Experience integrating LLMs with tools, APIs, and structured data
- Ability to reason about and debug agent behavior in real-world scenarios
Nice to Have
- Experience with multi-agent systems
- Production deployment experience on AWS, GCP, or Azure
- Familiarity with LLM evaluation, monitoring, and observability
- Background in backend engineering or distributed systems
- Experience working in startup or fast-paced product environments
What Success Looks Like
- You ship reliable, production-ready agents
- RAG systems you build retrieve relevant, high-quality context
- Agents behave predictably and improve over time
- You proactively identify and fix failure modes
- You balance speed with system robustness
Originally posted on Himalayas