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GenAI Lead 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:
Not provided

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Salary:

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Job Description:

Are you ready to shape the future of banking with cutting-edge AI? At Citi, we're building more than just technology; we're innovating solutions that transform the global financial landscape? We are seeking an exceptional and highly motivated GenAI Lead Engineer to join our dynamic team and drive the design, prototyping, and implementation of advanced AI/ML and Generative AI solutions. This pivotal role requires a seasoned professional with a deep understanding of Generative AI technologies, a strong hands-on approach, and a proven ability to translate complex business challenges into robust, scalable, and impactful digital solutions. If you are passionate about innovation, technical leadership, and influencing strategic direction, we encourage you to apply!

Job Responsibility:

  • Drive the identification, evaluation, and adoption of emerging GenAI, ML, and traditional AI technologies and tools to develop innovative solutions and enhance existing platforms
  • Lead the end-to-end design, prototyping, and implementation of cutting-edge AI/ML and Generative AI solutions, ensuring they address critical business needs and scale effectively across the enterprise
  • Partner closely with product management, engineering teams, and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps
  • Provide guidance and mentorship to junior engineers, fostering best practices in AI/ML/GenAI development, deployment, and operational excellence
  • Champion rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot based on feedback and evolving needs, prioritizing value delivery over upfront perfection
  • Lead the development of compelling proof-of-concept projects to validate the feasibility and potential of novel AI/ML/GenAI solutions
  • Actively contribute to the design and development of internal AI/ML/GenAI platforms, frameworks, and shared services
  • Provide expert technical support, troubleshooting, and resolution for AI/ML/GenAI solutions in production environments

Requirements:

  • Proficiency in at least two programming languages (strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued)
  • Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
  • Strong theoretical and practical understanding of Large Language Models (LLMs), transformers, agentic frameworks, vector stores, and advanced search algorithms
  • Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
  • Extensive experience with data analysis and manipulation using tools like SQL and Pandas
  • Proficiency in database technologies including Oracle, Postgres, or MongoDB
  • Proven experience in designing and implementing robust REST and WebSocket APIs
  • Experience with messaging and integration platforms like Kafka or JMS/MQ
  • UI development skills with technologies such as React JS or Streamlit
  • Demonstrated ability to design, develop, and deploy AI/ML/GenAI solutions into production environments (experience with MLOps principles and tools is a significant advantage)
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
  • 10+ years of professional experience, preferably within financial services or leading technology firms
  • A self-starter with a strong drive for innovation, exhibiting exceptional problem-solving skills, and a knack for leveraging 'out-of-the-box' tooling and automation
  • Excellent written and verbal communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences

Additional Information:

Job Posted:
February 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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