AI QA Engineer - Bangalore, IND

Posted Yesterday
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2 Locations
In-Office or Remote
Mid level
Agency • Information Technology
The Role
Develop and deploy production-grade Generative AI services using LLMs, RAG, embeddings and vector retrieval. Build APIs and microservices with FastAPI, integrate models and enterprise workflows, optimize model accuracy and latency, implement monitoring/logging/evaluation frameworks, and support cloud/Docker deployments.
Summary Generated by Built In
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

Skills Required

  • 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
  • LangGraph
  • Agentic AI concepts
  • Fine-tuning and PEFT techniques
  • AWS, Azure, or GCP
  • LangSmith / LangWatch
  • MLflow or experiment tracking
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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