
Real job — pulled straight from Citigroup’s careers page · Verified November 2, 2026 · No reposts.
Job description
Citigroup is hiring a Generative AI Software Engineer — a full-time, based in Pune, MH, IN role. Apply directly on Citigroup's careers page below.
Generative AI Software Engineer
Location: Pune, MH, IN
Do you thrive on solving complex problems and building full-stack solutions that make an impact? Ready to influence big tech decisions and help shape the AI Strategy of a global bank?"
Group AI is Citi's unified Artificial Intelligence organization, responsible for defining and executing the Citi’s AI strategy, platforms, products, governance, and adoption initiatives. The organization enables scalable, responsible, and business-aligned AI innovation, accelerating transformation while ensuring robust controls, risk management, and operational excellence across the enterprise.
The AI Strategy, Strategic Partnerships and Enablement organization within Group AI, is seeking a hands-on Generative AI Software Engineer to evaluate, prototype, and scale emerging AI technologies across the firm. This role sits at the intersection of AI engineering, innovation, and enterprise adoption, partnering with startups, technology vendors, and internal stakeholders to develop cutting-edge AI capabilities and accelerate the delivery of business value.
We are seeking a Generative AI Software Engineer with expertise in modern AI technologies and a passion for building AI‑first product experiences. The role is hands-on development role to join existing engineering team based out US, UK and India. The candidate will be joining an existing global team of strategy analysts, project/product managers and engineers.
What You’ll Do
- Design and build LLM-powered AI agents that automate and streamline AI Strategy workflows end-to-end
- Build rapid proofs of concept (PoCs), prototypes, and production-ready solutions to validate emerging technologies and business use cases.
- Develop scalable APIs, microservices, and backend services that integrate AI capabilities into enterprise applications.
- Build high-quality, reliable products with user experience at the center
- Contribute to the evolution of the core AI Strategy platforms - architecture, performance, and reliability
- Maintain strong engineering discipline: clean architecture,, performance optimization, testing, and documentation
What You Bring
- 7+ years of software engineering experience building enterprise-grade applications and platforms.
- Full-Stack Development Fluency in at least two programming languages, with strong preference for Python, JavaScript/TypeScript. Ability to build and own end-to-end features across backend services and user-facing interfaces.
- Strong proficiency in Python and modern AI development frameworks such as FastAPI, Flask, Pandas, Scikit-learn, Hugging Face, LangChain, and LangGraph.
- Hands-on experience building Generative AI applications using proprietary and open-weight LLMs.
- Deep understanding of RAG architectures, prompt engineering, agent orchestration, model evaluation, and AI application design patterns.
- Cloud-Native & Container Orchestration Hands-on experience with Docker, Kubernetes, and OpenShift. Proven ability to design and deploy scalable, resilient microservices in containerized environments.
- Data & Persistence Solid understanding of relational databases (PostgreSQL) and NoSQL platforms (MongoDB), as well as cloud data warehousing with Snowflake. Ability to design appropriate data models for AI-driven applications, including vector stores and knowledge bases.
- Engineering Discipline Strong commitment to clean architecture, test coverage, documentation, and adherence to engineering standards. Experience working in regulated or enterprise environments is a plus.
Preferred but not must –
- Experience with AI observability platforms, LLM evaluation frameworks, and software development agents.
- Familiarity with AI governance, model risk management, data privacy, and security requirements in regulated environments.
- Experience evaluating third-party AI platforms, startup technologies, or emerging AI solutions.
- Financial services, fintech, or other regulated-industry experience preferred.
Why Join Us
You will join a high-discipline, AI-first engineering team within Group AI, building and deploying enterprise-grade AI agents
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Job Family Group:
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Job Family:
Applications Development------------------------------------------------------
Time Type:
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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.
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Frequently asked questions
What skills are required for Generative AI Software Engineer at Citigroup?
The required skills for Generative AI Software Engineer at Citigroup include: Python, JavaScript, TypeScript, FastAPI, Flask, Pandas, Scikit-learn, Hugging Face, LangChain, LangGraph, LLM, RAG, Docker, Kubernetes, OpenShift, PostgreSQL, MongoDB, Snowflake, API, Microservices.
What is the seniority level for Generative AI Software Engineer at Citigroup?
Generative AI Software Engineer at Citigroup is a Senior level position.
How do I apply for Generative AI Software Engineer at Citigroup?
You can view the full description and apply for Generative AI Software Engineer at Citigroup on EchoJobs: https://echojobs.io/job/citigroup-generative-ai-software-engineer-gppid.