AI Engineer - Assistant Vice President

Citi; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Citi in Pune, India is seeking an AI Engineer to design and develop agentic AI solutions for Funds Transfer Pricing and Financial Hedging platforms. The role emphasizes building scalable, production-ready agents and integrating LLMs to automate complex workflows.

You will work on multi-agent architectures, sleep-wake feedback loops, and retrieval-augmented generation, ensuring high performance and cost-efficiency while collaborating across teams to deliver cutting-edge technology at scale.

Qualifications

• 8+ years in software development and large-scale systems.
• Proficiency in Python and SQL; production-quality agentic AI experience.
• Experience with multi-agent frameworks and vector DBs.
• Strong prompt and context engineering skills.

Responsibilities

• Develop advanced agent and model capabilities for multi-agent workflows.
• Optimize AI systems for low latency and high throughput, including caching strategies.
• Collaborate with engineers to investigate research ideas and implement practical AI solutions.

Skills

Agentic AI development

Multi-agent systems

Prompt engineering

LLM integration

System design

Performance optimization

Education

Bachelor's degree in Computer Science

Master's degree preferred

Tools

LangChain

LlamaIndex

Google ADK

LangGraph

AutoGen

CrewAI

Job description

Job Description

We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are looking for an AI Engineer to help design and develop Agentic AI solutions for these domains.

The ideal candidate is a skilled engineer, passionate about building sophisticated AI agents and contributing to their development from concept to production.

In this position, you will be responsible for helping to create agentic solutions that automate complex workflows, enhance critical decision-making, and deliver scalable, cutting-edge technology at a global scale.

Responsibilities:

Advanced Agent and Model Development

• Contribute to the development of multi-agent systems where autonomous agents collaborate to solve business problems.
• Implement and optimize planning and reasoning capabilities using techniques such as knowledge graphs, rule-based reasoning, and planning/search algorithms to execute multi-step workflows.
• Build resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, and self-correction.
• Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities and support complex business workflows.
• Work on the design and optimization of Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, and retrieval pipelines to improve response accuracy.
• Develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications and platforms.

Performance and Optimization

• Contribute to the optimization of AI systems for low latency and high throughput.
• Implement techniques such as response streaming and caching, while ensuring cost-effectiveness through model selection and token usage optimization

Collaboration and Innovation:

• AI Research and Application: Stay current with state-of-the-art research and apply it to solve business problems, identifying opportunities for innovation.
• Team Collaboration: Collaborate with and mentor other engineers on AI best practices, fostering a culture of engineering excellence within the team.

Required Qualifications & Skills

• 8+ years of professional experience in software development and system design, with a proven track record of delivering large-scale systems
• Professional experience in software development and system design.
• Proficiency in Python and SQL, with experience in production-quality Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents.
• Experience in developing multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen, or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, and Vector DBs.
• Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
• Strong skills in Prompt and Context Engineering, including the ability to structure and compress information for optimal model performance

Beneficial Qualifications & Skills

• Experience working in the financial services industry.
• Proficiency in Java as an additional programming language.

Education

• Bachelor’s degree/University degree in Computer Science or a related field.
• Master's degree preferred

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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.