AI Quality Engineer

6 days ago

Greater Noida, Uttar Pradesh, India Coforge Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role Overview:

We are looking for an experienced AI Quality Engineering (QE) Engineer with strong expertise in Python development, AI/ML pipelines, and GenAI frameworks. The ideal candidate will design, implement, and validate AI-driven solutions while ensuring robust quality engineering practices.

Key Responsibilities:

  • Develop and maintain automation frameworks for AI/ML and GenAI-based solutions.
  • Validate AI/ML pipelines including data preprocessing, model training, fine-tuning, and deployment.
  • Implement and test RAG pipelines for knowledge management using vector databases, embeddings, and graph structures.
  • Architect scalable, reusable, and high-performing Python-based systems.
  • Ensure quality engineering best practices across CI/CD, containerization, and cloud deployments (AWS).
  • Collaborate with cross-functional teams to optimize performance and troubleshoot complex issues.

Required Skills:

  • Python Expertise: FastAPI, Flask, async programming, RESTful APIs.
  • AI/ML Experience: TensorFlow, PyTorch, Scikit-learn for model lifecycle management.
  • GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock.
  • RAG Pipelines: Hands-on with vector databases, embeddings, and graph-based architectures.
  • Prompt Engineering: Optimization and fine-tuning techniques.
  • Graph Databases: Neo4j or agent-based architectures.
  • Strong grounding in Quality Engineering concepts and automation frameworks.
  • Solid understanding of CI/CD, Docker/Kubernetes, and AWS deployment.
  • Excellent debugging, performance optimization, and solutioning skills.

Nice to Have:

  • Experience with Playwright/Selenium for test automation.
  • Prior experience in product development or innovation labs.

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