AI QA Engineer

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

Requirements

• 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 Qualifications

• Knowledge of LangGraph and Agentic AI concepts
• Experience with fine-tuning and PEFT techniques
• Proficiency with AWS, Azure, or GCP
• Experience with LangSmith, LangWatch, or MLflow for experiment tracking

About the Company

Photon is a global leader in digital transformation, helping enterprises build and scale cutting-edge technology solutions. We focus on delivering high-impact business results through innovation in AI, cloud, and intelligent automation.