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: 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.
Skills Required
- 7+ years of software engineering experience building enterprise-grade applications and platforms
- Full-stack development experience using at least two programming languages
- Strong proficiency in Python
- Experience with JavaScript or TypeScript
- Experience with FastAPI, Flask, Pandas, Scikit-learn, Hugging Face, LangChain, and LangGraph
- Hands-on experience building generative AI applications using proprietary and open-weight LLMs
- Understanding of RAG architectures, prompt engineering, agent orchestration, model evaluation, and AI application design patterns
- Hands-on experience with Docker, Kubernetes, and OpenShift
- Experience designing and deploying scalable, resilient microservices in containerized environments
- Understanding of PostgreSQL, MongoDB, Snowflake, vector stores, and knowledge bases
- Commitment to clean architecture, test coverage, documentation, and engineering standards
- Experience with AI observability platforms, LLM evaluation frameworks, and software development agents
- Familiarity with AI governance, model risk management, data privacy, and security requirements
- Experience evaluating third-party AI platforms, startup technologies, or emerging AI solutions
- Financial services, fintech, or other regulated-industry experience
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
What We Do
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.
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