Agentic AI Tech Lead

Citigroup Inc.; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Citi seeks an expert Hands-on Technical Lead to act as player-coach for the Services AI Platform engineering team. You will split time between production-grade coding and guiding technical strategy, building scalable multi-tenant AI components and ensuring adherence to core principles.

You will lead by example, drive high-impact business use cases, and partner with SMEs to translate enterprise workflows into automated, agent-driven software solutions, while mentoring engineers.

Qualifications

• 10+ years of experience in software/AI.
• 5+ years of experience in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.

Responsibilities

• Lead the development of the AI platform components and full-stack apps (Python, Angular).
• Guide technical strategy and enforce architectural purity while delivering high‑impact business use cases.
• Collaborate with SMEs and UI/workflow teams to translate enterprise workflows into automated agent‑driven software.

Skills

AI/ML experience

Leadership

AWS

Full-stack development

Education

Bachelor’s or Master’s degree in CS/DS/AI

Tools

Google ADK

Neo4j

pgvector

Job description

We are seeking an expert Hands‑On Technical Lead to serve as the player‑coach for our Services AI Platform engineering team. In this role, you will split your time between writing production‑grade code and guiding the technical strategy of the platform. You will build and scale multi‑tenant agentic ecosystems, develop custom fine‑tuning applications, and ensure the platform adheres to our core principles (Trust, Adoption, Cost, Operations, and Scalability). You will lead by example, setting the standard for code quality and architectural purity while driving high‑impact business use cases.

Core Platform & Application Development

• Lead the development of custom AI platform components, including full‑stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine‑tuning planes and experiment tracking dashboards).
• Code and optimize multi‑tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google’s Agent Development Kit (ADK).
• Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.

Advanced Data Retrieval & Logic Engineering

• Write the data ingestion and retrieval code for advanced RAG architectures, including Knowledge Graph RAG (GraphRAG), LightRAG, and hierarchical summary trees (RAPTOR).
• Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval.
• Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision.

Use Case Development & Forward Deployment

• Act as a Forward Deployed Engineer (FDE), working directly with Subject Matter Experts (SMEs) on business and domain understanding to accurately translate complex enterprise workflows into automated, agent‑driven code.
• Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user‑facing layers and existing enterprise APIs.

Qualifications

• 10+ Years experience
• 5+ years of experience in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Extensive hands‑on experience with AWS services and infrastructure related to AI/ML.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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