Lead Generative AI Engineer - Python and LangChain
Citi (company site, opens in a new tab)4–7 yrsBengaluruHybridDirect career pageEst. 25–45 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design and development of production-grade Generative AI applications and complex Agentic solutions for Retail Banking business.
- Drive analytics and AI initiatives to enhance productivity and deliver customized solutions leveraging Generative AI capabilities.
- Ensure solutions comply with security, compliance, and performance standards while advising business stakeholders on Generative AI scope and capabilities.
Minimum Requirements
- 4-7 years of experience with preferred expertise in architecting and developing production-ready Generative AI RAG or Agent-based solutions.
- Mastery of Python, AI/ML frameworks such as PyTorch, TensorFlow, LangChain, MLOps, and cloud-native architectures like Kubernetes.
- Bachelor's degree required; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.
- In-depth knowledge of compliance, security, and performance management in a production environment.
Ideal Candidate Profile
- Experienced in Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
- Proven ability to architect highly scalable, available, and performant technology solutions within Retail Banking or similar sectors.
- Skilled in mentoring and training teams on advanced Agentic solution development and software engineering best practices.