Lead AI Engineer

3 - 7 years

10 - 15 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Work as Lead AI Engineer for US-based customer, focusing on AI agent development, LLM fine-tuning, and deploying scalable AI solutions on Google Cloud and Kubernetes infrastructure.

Job Description / Duties and Responsibilities

  • Design and deploy AI agents capable of task execution and decision-making using retrieval-augmented generation (RAG)
  • Fine-tune large language models (LLMs) including LLaMA, Mistral, and Falcon on proprietary datasets
  • Integrate embedding databases (ChromaDB, FAISS) and graph-based retrieval (G-RAG) using Neo4j
  • Optimize and deploy models using vLLM, TensorRT, and DeepSpeed for low-latency inference
  • Develop predictive models for commodity demand, supply forecasting, ETA predictions, and delay detection
  • Optimize logistics simulations and market algorithms for operational efficiency
  • Understand complete business goals and apply knowledge during design/development
  • Analyze requirements, identify technical feasibility, and propose solution approaches
  • Split tasks for User Story implementation considering technical aspects and NFRs
  • Provide task estimations and ensure completion accountability
  • Lead sprint task management, code reviews, and ensure first-time code quality
  • Translate user stories into technical specifications and working code
  • Initiate PoCs and feasibility studies for challenging requirements
  • Write clean, well-designed code following agile development with TDD
  • Troubleshoot, test, and maintain core product software and databases
  • Contribute to all development lifecycle phases
  • Educate and review technology best practices in team
  • Follow industry trends, pilot new tools, and ensure team technical scaling
  • Mentor junior team members on technology and code quality
Job Specification / Skills and Competencies
  • Golang and Python programming expertise
  • RAG (Retrieval-Augmented Generation) and LLM experience
  • GCP (Google Cloud Platform) proficiency
  • AI/ML experience with applied AI systems and production deployment
  • ML frameworks (TensorFlow, PyTorch, Keras)
  • Algorithms, optimization, neural networks, reinforcement learning
  • Path and function optimization methods (linear programming, simulation-based search)
  • Excellent analytical and problem-solving skills
  • 7+ years total experience (5+ years relevant)

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