Associate - AI Platform Senior Engineer

TIAA; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

TIAA seeks an AI Platform Senior Engineer in Pune to help build and maintain core AI infrastructure. You will contribute to agent development, model/prompt optimization, and backend engineering under senior guidance.

Required skills include Python, AWS, MCP concepts, and experience with backend APIs. Collaboration across cross-functional teams and strong communication are essential for success.

Qualifications

• Bachelor's degree required; Master's preferred.
• 3+ years of relevant experience; 5+ years preferred.
• Strong Python proficiency and backend API development.
• Experience with AWS and cloud services.
• Familiarity with MCP concepts and implementation.
• Knowledge of LLM optimization, prompt engineering, RAG, and fine-tuning basics.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Assist in building and testing AI agent components and workflows.
• Support LLM optimization and prompt engineering under guidance.
• Develop and maintain backend services, APIs, and integrations on AWS.
• Work with MCP-based integrations for tool/data access.
• Write clean, well-tested Python code.
• Participate in code reviews, design discussions, and sprint planning.
• Document processes and share knowledge internally.
• Troubleshoot and resolve issues in AI infrastructure.

Skills

Python

Agent development

LLM optimization

Backend APIs

AWS

MCP

ML basics

Communication

Education

Bachelor's degree

Master's degree

Job description

AI Platform Senior Engineer

The Associate, AI Platform Senior Engineer (Foundation Engineering) will support development and maintenance of core AI infrastructure, contributing to agent development, model/prompt optimization, and backend engineering efforts under the guidance of senior team members within the AI Center of Excellence.

Key Responsibilities and Duties

• Assist in building and testing AI agent components and workflows
• Support implementation of LLM optimization and prompt engineering techniques under senior engineer guidance
• Develop and maintain backend services, APIs, and integrations supporting AI systems, deployed on AWS/cloud infrastructure
• Support implementation of Model Context Protocol (MCP)-based integrations for agent tool/data access
• Write clean, well-tested, maintainable Python code
• Participate in code reviews, design discussions, and sprint planning
• Document technical processes and contribute to internal knowledge sharing
• Troubleshoot and resolve issues in existing AI infrastructure components

Required Qualifications

• Strong proficiency in Python
• Working knowledge of agent development concepts and frameworks
• Familiarity with LLM/prompt optimization techniques (prompt engineering, RAG, basic fine-tuning approaches)
• Backend development experience (APIs, databases, service integration)
• Required working knowledge of AWS and cloud services
• Mandatory familiarity with Model Context Protocol (MCP) concepts and implementation
• Background or coursework in machine learning fundamentals preferred
• Good communication skills with ability to work effectively in a collaborative, cross-functional team environment

Educational Requirements

• Bachelor's degree required; Master's degree or equivalent postgraduate qualification preferred

Work Experience

• 3+ Years Required; 5+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level

7IC

NA

Related Skills

Continuous Integration and Deployment, Debugging, DevOps, Enterprise Application Integration, Problem Solving, Programming, Software Development, Software Development Life Cycle, Software Testing, Systems Design/Analysis, Systems Development Life Cycle

Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

Our Culture of Impact

At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:

Phone: [phone]

Email: [e-mail]

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