Gen AI Engineer

Key Responsibilities

• Design and build LLM-powered applications using proprietary and open-source models.
  • Implement prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling, and agent workflows.
  • Deploy LLM solutions into cloud and enterprise environments with scalability and reliability.
  • Build inference APIs, microservices, and CI/CD pipelines for AI applications.
  • Monitor model quality, latency, cost, drift, and hallucinations in production.
  • Fine-tune and enhance models using parameter-efficient techniques where required.
  • Optimize inference performance using caching, batching, quantization, and prompt optimization.
  • Ensure security, privacy, and responsible AI guardrails in all deployments.
  • Collaborate with product, platform, and engineering teams to deliver enterprise AI solutions.

Required Skills & Experience

• Strong programming skills in Python; experience with backend APIs.
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, or equivalent).
  • Experience building RAG pipelines using vector databases.
  • Knowledge of Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
  • Familiarity with LLMOps / MLOps tools and monitoring systems.