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About the role
Job Summary 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
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