Agentic AI Developer

Overview

Build agentic, autonomous AI systems that can reason, retrieve knowledge, and act across tools and data sources.

What you'll do

• Design and develop agentic AI systems using LLMs, tools, and orchestration frameworks.
• Build RAG pipelines for structured and unstructured data.
• Implement multi-agent workflows for document understanding, OCR, and data extraction.
• Develop APIs and services for AI pipelines using Python and FastAPI.
• Evaluate and improve model accuracy, latency, and reliability.

What you'll need

• Strong proficiency in Python.
• Strong proficiency in SQL.
• Experience with LLMs, RAG, and multi-agent systems.
• Hands-on experience with LangChain, LangGraph, or similar frameworks.
• Experience with vector databases and OCR tools.
• Experience deploying models on cloud platforms (Azure preferred).
• Knowledge of prompt engineering and agent reasoning patterns.
• Familiarity with cloud deployment and Docker.

Nice to have

• Exposure to cloud platforms (GCP).
• Exposure to MLOps experience.
• Knowledge of CI/CD tools.