Description

Job Summary
We are looking for an experienced Python AI Developer with strong expertise in Python programming, Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), and Agentic AI.

The ideal candidate should have hands-on experience developing AI-powered applications, building REST APIs, implementing RAG pipelines, integrating LLMs, and deploying scalable AI solutions in cloud environments.
Key Responsibilities

• Design, develop, and maintain AI/ML applications using Python.
• Develop Generative AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, and Hugging Face models.
• Build LLM-powered applications using LangChain, LangGraph, and LlamaIndex.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop autonomous AI agents and multi-agent workflows.
• Build and integrate RESTful APIs using FastAPI, Flask, or Django.
• Implement prompt engineering, embeddings, semantic search, and vector databases.
• Develop machine learning models using Scikit-learn, TensorFlow, and PyTorch.
• Integrate AI applications with enterprise systems and databases.
• Deploy AI solutions using Docker, Kubernetes, and cloud services.
• Optimize AI model performance, latency, scalability, and cost.
• Collaborate with data engineers, architects, and DevOps teams.

Mandatory Skills

• 5+ years of hands-on Python development experience.
• Strong experience in Generative AI and LLM application development.
• Hands-on experience with LangChain or LangGraph.
• Experience designing and implementing RAG solutions.
• Strong knowledge of REST APIs and microservices.
• Experience with vector databases and embedding models.
• Understanding of prompt engineering and LLM evaluation.
• Experience deploying applications in AWS, Azure, or GCP.
• Strong debugging, performance optimization, and problem-solving skills.
• good knowlege of english mysqli-DB

Preferred Skills

Experience with Agentic AI and Model Context Protocol (MCP).
Knowledge of AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
Experience with AI workflow orchestration and multi-agent architecture.
Familiarity with LLMOps, model monitoring, and evaluation frameworks.
Experience with enterprise AI security and responsible AI practices.
Sample Project Experience

Key Skills

Education

Any Graduate