Job Description

We are seeking a Generative AI Engineer with strong Python expertise to build enterprise AI applications leveraging LLMs, RAG, embeddings, and intelligent automation. The role focuses on developing production-grade AI services, integrating foundation models, and delivering business solutions powered by Generative AI.

Key Responsibilities

• Build AI-powered applications using OpenAI, Claude, Gemini, Llama, and Hugging Face models
• Develop RAG pipelines using LlamaIndex and LangChain
• Implement prompt engineering, embeddings, semantic search, and vector retrieval
• Build APIs and microservices using FastAPI and Python
• Integrate AI solutions with enterprise applications and workflows
• Evaluate and optimize model accuracy, latency, and reliability
• Develop monitoring, logging, and evaluation frameworks for AI applications
• Support deployment and production operations of AI workloads

Required Skills Mandatory

• 3+ years of Python development experience
• Experience with OpenAI, Claude, Gemini, or Hugging Face
• Experience with LangChain or LlamaIndex
• Experience with Vector Databases and Embeddings
• Experience building APIs using FastAPI
• Understanding of RAG architectures
• Docker and Cloud deployment experience
• Strong prompt engineering skills

Preferred

• LangGraph
• Agentic AI concepts
• Fine-tuning and PEFT techniques
• AWS, Azure, or GCP
• LangSmith / LangWatch
• MLflow or experiment tracking

Interview Focus Areas

Candidates should be able to explain:

• AI applications delivered
• RAG architecture used
• Embedding and retrieval strategy
• Prompt optimization techniques
• Production deployment approach
• Monitoring and evaluation mechanisms
• Business challenges solved using GenAI