1 month ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, design, and lead production-grade Generative AI applications and complex agentic solutions.
- Define technical strategy and make architecture, framework, and tooling decisions for AI projects.
- Design agent training, performance measurement, correction, and feedback processes.
- Ensure solutions meet compliance, security, availability, scalability, and performance standards.
- Mentor junior and intermediate engineers and data scientists in agentic solution development and software engineering practices.
- Manage project and program timelines and deliverables using Agile processes.
- On the AVP manager track, conduct performance reviews, support career development, and build teams.
Requirements
- 7–10 years of overall experience, including at least 2.5 years architecting and developing production-ready Generative AI RAG or agent-based solutions.
- Expert understanding of agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement-learning feedback loops.
- Strong experience architecting highly scalable, available, and performant technology solutions.
- Deep expertise in agent training, performance measurement, and feedback processes.
- Proven ability to mentor and lead technical teams.
- Experience with program or project management and development timeline planning.
- Knowledge of compliance, security, and performance management in production environments.
- Mastery of Python, PyTorch, TensorFlow, LangChain, MLOps, and cloud-native architectures using Kubernetes.
- Bachelor’s or university degree or equivalent experience; a master’s degree in Computer Science, AI, Engineering, or a related quantitative field is preferred.
Tech Stack
Categories
About Citi
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