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Senior AI Engineer Agentic AI LangChain LangGraph - GenticAI
AI Engineer
Lead the design and development of next‑generation AI applications, leveraging LangChain, LangGraph, and Agentic AI to build scalable, RAG‑enabled systems with advanced prompt engineering and vector database integration.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI solutions using LangChain and LangGraph, ensuring modularity and maintainability.
- Design RAG pipelines, selecting appropriate vector databases and embedding strategies to optimize retrieval performance.
- Integrate large language models via APIs, applying advanced prompt engineering and fine‑tuning techniques.
- Collaborate with cross‑functional teams to translate business requirements into scalable software designs.
- Mentor junior engineers, conduct code reviews, and promote best practices in software engineering.
Requirements
- 8–10 years of professional software engineering experience.
- Deep expertise in LangChain, LangGraph, and Agentic AI concepts.
- Proficiency in Python and experience with LLM integration.
- Hands‑on experience with RAG architectures, vector databases, and embeddings.
- Strong analytical, problem‑solving, and communication skills.