Description

Build and deploy end-to-end AI solutions that automate business workflows using Python and modern LLM frameworks.

This role is on-site.

Responsibilities

• Design and implement Retrieval-Augmented Generation (RAG) pipelines for AI applications.
• Develop AI agents and agentic workflows using LangChain, LangGraph, CrewAI, or similar frameworks.
• Integrate LLMs (OpenAI GPT, Claude, Gemini, Llama) into enterprise applications.
• Deploy AI applications into production environments.

Required Skills

• Strong Python development experience with 7+ years of professional practice.
• Experience building RAG pipelines and integrating LLMs.
• Proficiency with LangChain, LangGraph, or CrewAI.
• Bachelor's degree in Computer Science or related field.
• Ability to solve real business problems through automated AI solutions.

Preferred Skills

• Knowledge of vector databases such as Pinecone, Chroma, FAISS, or Weaviate.
• Experience deploying AI applications to production.

Key Skills

Education

Bachelor's degree