Key Responsibilities
Design, develop, and deploy Generative AI solutions for enterprise applications.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
Develop AI agents and multi-agent workflows using LangChain, LangGraph, or similar frameworks.
Integrate LLMs such as Azure OpenAI, OpenAI GPT, Claude, Llama, or Gemini into production applications.
Create REST APIs and AI services using Python and FastAPI.
Optimize prompts, model performance, and inference pipelines.
Work with embeddings, semantic search, document processing, and knowledge retrieval systems.
Collaborate with cross-functional teams to deliver scalable AI-powered solutions.
Implement monitoring, evaluation, and continuous improvement for AI applications.

Required Skills
5+ years of experience in software development.
Robust proficiency in Python.
Hands-on experience with:




Generative AI and Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
LangChain
LangGraph
AI Agents / Agentic AI
FastAPI
Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, or Qdrant)
Azure OpenAI / OpenAI APIs
Experience with REST APIs and microservices.
Knowledge of Git, Docker, and CI/CD pipelines.
Positive understanding of cloud platforms such as Microsoft Azure or AWS.

Preferred Skills
Azure AI Foundry or Azure AI Studio.
Azure Cognitive Search / AI Search.
MCP (Model Context Protocol).
Knowledge Graphs.
Kubernetes and containerized deployments.
MLOps experience.
Exposure to evaluation frameworks and AI observability

📌 Python Ai Engineer Hyderabad
🏢 Alphacom Systems and Solutions
📍 Hyderabad