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.
- Good 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