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
- Solid 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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