Description

Design, develop, and deploy advanced NLP, cognitive search, and agentic AI solutions. Own the architecture of scalable RAG systems and autonomous workflows that integrate vector search, knowledge graphs, and LLMs.

This role is on-site.

Responsibilities

• Architect agentic AI systems that perform autonomous tasks by chaining actions and managing states.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs for accurate contextual responses.
• Build scalable, maintainable AI services using Python, Langchain, and LangGraph.
• Create comprehensive technical documentation and architecture diagrams for knowledge transfer.

Required Skills

• 8+ years of professional software engineering experience.
• Strong proficiency in Python for backend or AI service development.
• Hands-on experience with Langchain and LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.
• Experience designing agentic AI architectures, autonomous workflows, or multi-agent systems.
• Familiarity with vector search engines (FAISS, Pinecone, Weaviate) and knowledge graphs.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).

Key Skills

Education

Bachelor's degree