Description

You will lead the end-to-end design and development of GenAI-powered applications using modern AI frameworks.

This role is on-site.

Responsibilities

• Translate customer requirements into scalable AI architectures leveraging cloud services.
• Drive adoption of LLM orchestration frameworks including LangChain and OpenAI tools.
• Build RAG pipelines using vector databases, embeddings, and document indexing for optimal performance.
• Design and implement agentic workflows with vector search capabilities.
• Lead a small team of engineers and conduct thorough code and design reviews.

Required Skills

• 8+ years of experience with strong expertise in Python.
• Hands-on experience in Generative AI, RAG, and building LLM-powered applications.
• Proficiency with AWS Cloud, LangChain, and Flask.
• Experience with Vector Databases for embedding and search.
• Hands-on Docker and DevOps practices.
• Experience implementing microservices architecture and event-driven systems.
• Familiarity with CI/CD pipelines and observability practices.

Key Skills

Education

Any Graduate