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Lead AI Engineer

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Citi

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

We are seeking a technical Lead AI Engineer to lead the design, development, and implementation of cutting-edge generative AI solutions. This lead role is a unique blend of high-level architectural strategy and hands-on engineering. You will be the driving force behind our generative AI initiatives, shaping the future of our products and services by harnessing the power of Large Language Models (LLMs) and other generative technologies.

Job Responsibility:

  • Design and architect end-to-end generative AI solutions, from proof-of-concept to production, ensuring scalability, performance, and reliability
  • Develop and maintain a comprehensive strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms
  • Lead the hands-on development of complex AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous AI agents, fine-tuning workflows, and custom model integrations
  • Establish and govern best practices for the full AI development lifecycle, including prompt engineering, model evaluation, MLOps, and data management
  • Collaborate closely with multiple management teams and business units to identify high-impact use cases
  • Serve as a senior advisor and coach to other engineers and analysts, fostering a culture of innovation and technical excellence
  • Appropriately assess risk when business decisions are made
  • Drive compliance with all applicable laws, rules, and regulations
  • Stay abreast of the latest advancements in generative AI research, and translate state-of-the-art developments into practical, innovative solutions

Requirements:

  • Extensive experience in designing and building AI/ML solutions, with a significant focus on generative AI and Large Language Models (LLMs)
  • Deep understanding of modern AI architectures and techniques, including Retrieval-Augmented Generation (RAG), fine-tuning, function calling, and AI agentic workflows
  • Expert-level skills in Python and extensive experience with core AI/ML libraries such as PyTorch, TensorFlow
  • Proven ability to architect and develop large-scale, distributed, multi-tier applications
  • Strong knowledge of microservices, API design, and system integration
  • Solid understanding of MLOps principles and experience with tools for model versioning, deployment, monitoring, and lifecycle management
  • Demonstrated experience serving as a technical lead, architect, or principal engineer, with a track record of mentoring team members and driving projects to completion

Nice to have:

  • Vector databases and search technologies (e.g., Pinecone, Milvus, ChromaDB, Elasticsearch)
  • Familiarity with data pipeline development (ETL/ELT) and big data frameworks like Apache Spark or Kafka
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes for deploying and scaling AI services
  • Knowledge of distributed caching solutions (e.g., Redis, Hazelcast) and building highly performant, low-latency systems

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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