Description

You will build and maintain generative AI systems, focusing on LLM integration, RAG architectures, and agentic workflows.

This role is on-site.

Responsibilities

• Develop backend services using Python (FastAPI/Flask) to support AI applications.
• Implement RAG architectures and vector database integrations (pgvector, Pinecone, Chroma).
• Engineer prompts and manage function calling for Large Language Models (OpenAI/Azure OpenAI).
• Build agentic AI workflows using frameworks like LangChain, LangGraph, or CrewAI.
• Train, fine-tune, and evaluate deep learning models using PyTorch or TensorFlow.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong proficiency in Python and backend development.
• Hands-on experience with LLMs and prompt engineering.
• Familiarity with vector databases and embedding strategies.
• Experience with API integrations and workflow orchestration.
• Knowledge of agentic AI frameworks (LangChain, AutoGen, etc.).

Preferred Skills

• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency with containerization tools (Docker, Kubernetes).
• Background in real-time systems, document AI, or voice AI.

Key Skills

Education

Bachelor's degree