Description:
We are seeking an experienced AI/ML Engineer with hands-on expertise in LangChain, LangGraph, LLMs, and related components of the modern AI ecosystem. You will play a key role in designing and deploying intelligent agents and automation workflows that leverage LLMs and structured chains.
Key Responsibilities
- Design, develop, and deploy intelligent agents using LangChain and LangGraph
- Integrate LLMs (OpenAI, Anthropic, open-source models) into custom workflows
- Build prompt chains, memory modules, tools, and retrievers
- Work with vector databases (e.g., FAISS, Chroma, Weaviate, Pinecone)
- Implement similarity search, RAG pipelines, and agent-based task automation
- Collaborate with product and backend teams to deploy AI features into applications
- Optimize system performance, latency, and reliability for real-world use
- Stay updated with advancements in LLMs, agent frameworks, and AI tooling
Requirements
- Bachelor's or Master’s in Computer Science, AI, Data Science, or related field
- 2+ years of experience in AI/ML development
- Strong expertise in LangChain, LangGraph, Python, and LLM-based app development
- Familiarity with OpenAI, Hugging Face, Anthropic APIs
- Experience with vector databases and RAG pipelines
- Strong understanding of prompt engineering and LLM tokenization
- Ability to write clean, modular, well-documented code
- Experience with version control (Git) and cloud deployment is a plus