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Lead Generative AI Engineer - Python and LangChain

Citi
Bengaluru, IND
Full-time
Senior · 4+ years experience
Hybrid
Discovered 2 days ago
PythonPyTorchTensorFlowLangChainMLOpsKubernetes
Free

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PythonPyTorchTensorFlow
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Responsibilities

  • Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.
  • Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
  • Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.
  • Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
  • Ensure solutions meet stringent compliance, security, and performance management standards.
  • Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.
  • Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.

Qualifications

  • 4-7 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
  • Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
  • Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
  • Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
  • Deep expertise in Agent training, performance measurement, and feedback processes.
  • In-depth knowledge of compliance, security, and performance management in a production environment.

Education

Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.

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  • Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
  • If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

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