Job Summary

We are seeking a Generative AI Engineer with solid 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.

📌 Ai Qa Engineer Karnataka (India)
🏢 Photon
📍 India