Agentic AI Developer

Experience: 4-6 years

Job Type: Full-time (Contractual – 1 Year)

Location: Hyderabad (On-Site)

Required Skills: Python developer

Additional Preferred Skills

Python Backend Development, FastAPI/Django APIs, OpenAI/LLM Integration, RAG, Vector Databases, LangChain/LangGraph, Docker, SQL/Postgres, LangGraph, Multi-agent Workflows, Tool/Function Calling, Async Python, AWS, GCP, Azure, Kubernetes, Evaluation & Guardrails, Semantic Search, Neo4j, Knowledge Graphs, CI/CD

Job Summary

We are looking for a highly skilled and innovative Agentic AI Developer to join our growing technology team in Hyderabad. The ideal candidate should have strong expertise in Python backend development, LLM integration, RAG architecture, and AI workflow orchestration using modern AI frameworks and tools.

Key Responsibilities

• Develop and deploy scalable AI-powered backend applications using Python.
• Build and maintain APIs using FastAPI or Django.
• Integrate OpenAI APIs and Large Language Models (LLMs) into enterprise applications.
• Design and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Work with Vector Databases such as FAISS, Chroma, and Pinecone.
• Build intelligent AI workflows using LangChain or LangGraph.
• Implement Docker-based deployments and production-ready AI solutions.
• Manage and optimize SQL/Postgres databases for AI applications.
• Collaborate with cross-functional teams to deliver scalable AI-driven products.
• Ensure performance, scalability, and reliability of AI systems.
  
  

Preferred Qualifications

• Strong understanding of Agentic AI and multi-agent workflows.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Async Python and scalable backend architectures.
• Familiarity with Kubernetes and CI/CD pipelines.
• Experience implementing AI evaluation frameworks and guardrails.
• Understanding of semantic search and knowledge graph technologies.
• Strong analytical, debugging, and problem-solving skills.
• Ability to work in a fast-paced and collaborative environment.