Gen AI Python Developer
Citi
Job Overview
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Job Description
About the Role at Citi
Our team is at the forefront of building AI-powered developer tools that transform how engineering teams work across Citi. From release automation and CI/CD modernization to source control migrations (BitBucket to GitHub Enterprise) and innovative AI utilities, we are solving complex challenges at scale. As we expand our portfolio of tools, we need a skilled Python developer who can build robust backend services, integrate cutting-edge AI capabilities, and collaborate closely with users to drive adoption. Your work will directly impact thousands of developers across Citi, helping them modernize their workflows, automate repetitive tasks, and leverage AI to boost productivity.
We are seeking a Gen AI Python Developer to own and maintain AI-powered developer tools across multiple domains including release automation, source control migration, CI/CD modernization, and AI innovation. You will work on backend services that leverage Generative AI to automate complex workflows, configuration transformations, and code generation. Beyond development, you will actively collaborate with users and encourage adoption of these tools across the organization.
Key Responsibilities
- Own and maintain Python-based services built with FastAPI and Uvicorn across multiple tool domains.
- Develop AI-powered features for release automation, migration utilities (e.g., BitBucket to GitHub Enterprise), and developer productivity tools.
- Integrate with LLM/Gen AI services for intelligent code analysis, transformation, and automation.
- Build and maintain REST APIs that serve frontend applications and integrate with enterprise systems.
- Work with databases (MongoDB, PostgreSQL, or similar) for storing and querying metadata.
- Proactively identify, assess, and remediate CVEs/CVMs in Python dependencies, ensuring timely resolution.
- Implement async/await patterns for efficient API handling and rate limiting strategies.
- Write and maintain unit tests using pytest and perform load testing with Locust.
- Support Kubernetes/Helm-based deployments across DEV, UAT, COB, and PROD environments.
- Collaborate with engineering teams to understand their needs and gather feedback for tool improvements.
- Actively encourage and support users in adopting AI-powered tools through demos, office hours, and hands-on assistance.
- Contribute to AI innovation initiatives, exploring new use cases and proof-of-concepts.
- Ensure code quality through Black, isort, and SonarQube compliance.
Required Skills
- 5-6 years of professional experience in Python development.
- Strong proficiency in FastAPI or similar async web frameworks (Flask, Django REST).
- Experience with asynchronous programming (asyncio, async/await patterns).
- Solid understanding of RESTful API design and implementation.
- Experience with NoSQL or relational databases (MongoDB, PostgreSQL, or similar).
- Familiarity with LLM/Gen AI integration concepts and willingness to innovate with AI.
- Experience with template engines (Jinja2) for code/config generation.
- Proficiency in YAML/JSON processing.
- Experience with containerization (Docker) and basic Kubernetes/Helm knowledge.
- Strong testing skills with pytest.
- Excellent collaboration and communication skills with ability to work closely with end users.
- Proactive mindset in encouraging tool adoption and providing user support.
- Experience with Git version control (GitHub, BitBucket) and PR-based workflows.
Preferred Skills
- Experience with Google Cloud Platform, Vertex AI, or similar AI/ML platforms.
- Knowledge of CI/CD concepts, release automation, and DevOps practices.
- Experience with source control migrations (BitBucket, GitLab, GitHub Enterprise).
- Familiarity with OIDC/OAuth authentication.
- Experience with rate limiting and retry patterns for API integrations.
- Understanding of prompt engineering for LLM applications.
- Experience conducting technical demos or training sessions.
Nice to Have
- Experience with LLM evaluation frameworks.
- Hands-on experience with enterprise CI/CD platforms.
- Experience working in financial services or regulated environments.
- Passion for AI innovation and exploring emerging technologies.
- Familiarity with Citi's internal tools and infrastructure.
Key skills/competency
- Python
- FastAPI
- Generative AI
- LLM Integration
- REST APIs
- Kubernetes
- Docker
- Pytest
- MongoDB
- CI/CD
How to Get Hired at Citi
- Research Citi's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your Gen AI Python Developer resume: Highlight Python expertise, FastAPI, Gen AI/LLM integration, and experience with large-scale enterprise systems at Citi.
- Showcase technical projects: Provide a portfolio demonstrating Python backend development, REST API design, containerization, and AI application experience relevant to Citi's needs.
- Prepare for technical deep dives: Be ready to discuss async programming, database interaction, testing methodologies, and architectural patterns in Python during Citi interviews.
- Emphasize collaboration and adoption: During interviews, demonstrate how you proactively engage with users and drive successful tool adoption within a large organization like Citi.
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