You’ll work on cutting-edge Generative AI solutions using LangChain, LangGraph, vector databases, and leading LLMs including OpenAI. This role is ideal for someone who loves solving real-world problems with AI and wants to work in a fast-growing, innovation-driven environment.
What You’ll Do:
- Design, develop, and optimize Generative AI solutions using LangChain & LangGraph.
- Build RAG pipelines, embeddings, and intelligent retrieval systems.
- Work with vector databases like FAISS, ChromaDB, and Pinecone.
- Integrate and fine-tune LLMs including OpenAI, Cohere, and Hugging Face.
- Develop scalable backend APIs for AI-driven applications.
- Collaborate across teams with a strong focus on AI safety, interpretability, and ethics.
Required Skills:
- Strong proficiency in Python and AI/ML frameworks.
- Hands-on experience with LangChain and LangGraph.
- Solid understanding of LLMs, prompt engineering, and generative AI workflows.
- Experience with OpenAI APIs, Cohere, or Hugging Face models.
- Knowledge of vector databases (FAISS, ChromaDB, Pinecone).
- Experience with RAG architectures and embedding techniques.
- Bonus: Familiarity with cloud platforms (AWS, GCP, Azure).
- Strong interest in AI ethics, safety, and responsible AI development.
Benefits:
- Excellent work environment.
- Provident Fund.
- Opportunity to work on advanced AI technologies.
- Collaborative, growth-driven, and innovation-focused work culture.
