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Citigroup

Principal Software Engineer –Gen AI Platforms

Citigroup

Published 26 Mar 2026
Pune, India
Full Time

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Role Highlights

Languages used

TypeScript
S3
GO
Python

Key skills

Machine Learning
Data Engineer
Generative AI
Product Management
UX
CICD
Distributed Systems
System Design
Pair Programming
Staff Engineer
Startup
Security
LLMs
Microservices
Infrastructure
RAG
Search
ETL
Architecture
Research
Testing

Tools, Libraries and Frameworks

GRPC
SDK
Kubernetes
OpenShift
MongoDB
Redis
Rest
OAuth
Vault
GitOps
Prometheus
Grafana
ELK
React

Description

\\\\Job Description\\\\ We are Citis Application, Platform and Engineering group, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office. We define the AI and engineering strategy for the bank. We are a team of talented engineers, product managers, and SMEs, taking ambiguous concepts and making them real by engineering cutting-edge products at planetary scale. We are solely focused on the most modern technology and engineering disciplines: generative AI, cloud-native architectures, security, modern app stacks, open-source, and the latest and greatest in the Kubernetes ecosystem. Generative AI is a rapidly evolving space. As a Staff Engineer, you will be the technical anchor and visionary for this domain. We ask that you share with us examples of projects that you have architected and scaled. Ideally, these examples should showcase clever distributed architectures, systematic evaluation of LLM behaviours at scale, and your ability to drive technical consensus across large organizations. \\\\Technical Skillset Required:\\\\ 14+ Years of Hands on experience is a must have. \\\\Tech Skillsets required for the role\\\\ : Go microservices, React 19+/TypeScript, OpenShift/Kubernetes, MongoDB/Redis/S3, REST/gRPC/WebSockets, Claude/Gemini/proprietary LLMs, OAuth/JWT/Vault, GitOps CI/CD, Prometheus/Grafana/ELK. \\\\You might be a good fit if you:\\\\ \\+ Bring distinguished, deep-dive software engineering expertise and a track record of architectural leadership. \\+ Thrive in a results-driven environment, where flexibility fuels impact and your technical decisions shape the enterprise. \\+ Are a game-changer and thought leader, ready to step beyond your designated role to influence the broader engineering culture. \\+ Love the synergy of pair programming and hands-on codingyou lead from the front and stay close to the codebase. \\+ Seize the opportunity to architect machine learning and GenAI applications at an unprecedented global scale. \\+ Possess a relentless passion to push the boundaries of machine learning and generative AI, bringing your knowledge to shape Citis future. \\\\What youll do within the team:\\\\ \\+ \\\\Engineering at scale:\\\\ You will build scaled, robust services and platforms centred around generative AI. This may also include developing CLIs, SDKs, runtimes and more. \\+ \\\\Thought Leadership:\\\\ Drive architectural vision and lead the 0-1 build of foundational, enterprise-grade AI platforms and products. \\+ \\\\System Design:\\\\ Design and build high-quality, highly reliable, and secure distributed systems with developer and user experience at the center. \\+ \\\\Strategic Direction:\\\\ Create firsts in the Generative AI space for Citi, acting as a core member of the team that defines the strategic technical direction for the entire bank. \\+ \\\\Scale & Iterate:\\\\ Continually iterate and scale Generative AI products to handle massive throughput, whilst anticipating and listening to the complex needs of internal customers. \\+ \\\\Cross-Org Influence:\\\\ You must be able to drive technical alignment across multiple engineering organizations, breaking down silos to deliver cohesive AI capabilities. \\\\Experience That Will Help You Succeed In This Role:\\\\ \\+ \\\\Mastery of Modern Stacks:\\\\ Expert-level fluency in Golang is a must-have, with deep experience building concurrent, high-throughput systems. (Python is a strong desirable addition). \\+ \\\\Cloud-Native & Infrastructure:\\\\ Deep expertise in the Kubernetes ecosystem, container orchestration, and modern security paradigms (e.g., Gatekeeper, zero-trust). \\+ \\\\Applied GenAI:\\\\ Understanding of language models, fine-tuning methodologies, and RAG architectures, JIT context retrieval strategies will be useful. \\+ \\\\AI Infrastructure:\\\\ Proven experience designing control planes, sandboxing systems for AI experimentation, and managing large-scale vector stores and search algorithms. \\+ \\\\Data Engineering:\\\\ Extensive experience in large-scale ETL development and data pipeline architecture. \\+ \\\\Security & Governance:\\\\ Experience maintaining and/or contributing to bug bounty, responsible disclosure programs, and AI safety/guardrail implementations. \\+ \\\\Startup Agility:\\\\ Experience leading technical initiatives within fast-paced startup environments or driving startup-like agility within a large enterprise. \\\\What We Believe In:\\\\ \\+ We do not have boundaries between engineering and research; we expect our technical leaders to bridge the gap and contribute to both. \\+ We take a product-focused approach and care deeply about building solutions that are robust, scalable, and easy to use. \\+ We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing, learning, and adapting. \\+ We enjoy pair programming for our products; we are lean in our approach and actively remove bureaucracy where we see it. \\+ We believe in delivering fast, iterating, and pivoting as we go, rather than defining the perfect solution upfront. \-\-\---------------------------------------------------- \\\\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 Citis\\\EEO Policy Statement ()\\\and the\\\Know Your Rights ()\\\poster.\\ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Required Qualifications and Skills

A minimum of 14 years of hands-on experience is required. The role demands distinguished, deep-dive software engineering expertise and a track record of architectural leadership. Mastery of modern stacks, with expert-level fluency in Golang and deep experience building concurrent, high-throughput systems, is a must-have. Deep expertise in the Kubernetes ecosystem, container orchestration, and modern security paradigms is also essential. Experience designing control planes, sandboxing systems for AI experimentation, and managing large-scale vector stores and search algorithms is expected.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Citigroup

Size

187556

Founded

HQ

New York, US

Description

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank an institution connecting millions of people across hundreds of countries and cities. For information on Citis commitment to privacy, visit on.citi/privacy.

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