3 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Serve as the technical anchor and primary technical owner for complex enterprise-grade AI solutions.
- Lead hands-on implementation of autonomous agents and advanced agentic architectures using frameworks such as Google ADK.
- Architect and implement AgentOps and agentic AI governance systems, including evaluation, observability, and traceability capabilities.
- Define and implement evaluation strategies for AI systems using platforms such as LangFuse.
- Partner with product leadership on AI product strategy and technical roadmaps.
- Design and implement AI-driven improvements to core business processes.
- Collaborate with Technology, Model Risk Management, Legal, Compliance, and Business teams.
- Evaluate and integrate emerging AI technologies and evangelize AI best practices.
- On the people leadership track, guide and grow AI engineers through coaching, performance management, and strategic project oversight.
Requirements
- 8–10 years of professional software engineering experience with significant experience building and deploying large-scale AI/ML systems.
- Expertise in Python.
- Experience architecting and building complex systems with agentic frameworks such as Google ADK, LangChain, and AutoGen.
- Deep expertise in context optimization, vector databases, knowledge graphs, and Retrieval-Augmented Generation at scale.
- Strong architectural skills in complex distributed systems and scalable backend APIs.
- Expertise defining and implementing AI evaluation strategies using platforms such as LangFuse.
- Experience building control and sandboxing systems for AI research is preferred.
- Contributions to open-source AI or cloud-native projects are preferred.
- Experience in the financial services industry is preferred.
- Deep hands-on knowledge of Kubernetes is preferred.
- Extensive experience with deep learning frameworks and MLOps principles is preferred.
- Advanced certifications in generative AI, agentic AI, cloud architecture, Kubernetes, or machine learning are a strong plus.
- Bachelor's or university degree in Computer Science or a related field is required; a master's degree is highly preferred.
Tech Stack
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.