Role Overview

We are seeking a highly skilled Python AI Engineer with hands-on experience in designing, developing, and deploying AI/ML and Generative AI solutions. The ideal candidate should possess strong Python development expertise along with experience in LLMs, AI frameworks, AI agents, and cloud-based AI services.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions using Python.
• Build and optimize Generative AI applications leveraging Large Language Models (LLMs).
• Develop AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Integrate AI models with enterprise applications through APIs and microservices.
• Fine-tune, evaluate, and optimize foundation models for business use cases.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Collaborate with cross-functional teams to identify AI opportunities and translate business requirements into technical solutions.
• Monitor, troubleshoot, and enhance AI model performance in production environments.
• Follow MLOps practices for model deployment, monitoring, and governance.

Required Skills

Primary Skills

• Strong hands-on experience in Python Development
• Generative AI and Large Language Models (GPT, Claude, Llama, Gemini, Mistral)
• Prompt Engineering
• LangChain / LangGraph
• RAG Architecture
• Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
• REST APIs and Microservices
• AI Agent Development (CrewAI, AutoGen, Semantic Kernel)

Secondary Skills

• Machine Learning and Deep Learning
• NLP Techniques and Transformers
• Azure OpenAI / AWS Bedrock / Google Vertex AI
• Docker and Kubernetes
• Git, CI/CD, DevOps Practices
• SQL and NoSQL Databases