Gen AI Engineer with Python

Gen AI Engineer with Python

Job Description:We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have hands-on experience in preparing and engineering enterprise data for AI use cases, building scalable RAG pipelines, implementing autonomous AI agents, and integrating Large Language Models (LLMs) into production environments.

This is a hands-on technical leadership role requiring deep knowledge of AI architecture, data preparation, prompt engineering, vector databases, and modern AI frameworks.

Required Skills

• 8+ years of software development experience with Python.
• 3+ years of hands-on experience delivering Generative AI solutions.
• Strong expertise in Retrieval-Augmented Generation (RAG) architecture and implementation.
• Hands-on experience building Agentic AI solutions using LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or Semantic Kernel.
• Experience preparing, processing, and engineering structured and unstructured enterprise data for AI use cases.
• Strong understanding of document ingestion, chunking strategies, embeddings, metadata enrichment, and vector search.
• Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
• Experience integrating LLMs including OpenAI, Azure OpenAI, Gemini, Claude, Llama, or Mistral.
• Strong knowledge of Prompt Engineering, AI orchestration, and tool/function calling.
• Experience developing APIs using FastAPI, Flask, or Django.
• Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).

Preferred Skills

• Experience with AI evaluation frameworks, observability, and LLMOps.
• Knowledge of MLOps and AI model deployment.
• Experience with Databricks, Snowflake, or enterprise data platforms.
• Familiarity with knowledge graphs and enterprise search solutions.