Uber FinTech Product AI team is seeking a Senior Applications Developer to develop AI-powered applications to drive automation, insights, and operational efficiency across global Finance and Accounting organizations.
Requirements
- Proven hands-on experience with LLM frameworks and tools like LangChain, LangGraph, OpenAI APIs, or similar.
- Experience building functional POCs and prototypes in Python or JavaScript.
- Familiarity with FinTech or enterprise finance workflows and platforms (e.g., Oracle, SAP, data warehouses).
- Strong understanding of AI integration, prompt engineering, and RAG (retrieval-augmented generation) techniques.
- 5+ years of software/application development experience with at least 2 years in AI/ML or LLM-driven solutions.
- Experience with synthetic data generation and evaluation for LLM applications.
- Familiarity with cloud-based ML infrastructure (e.g., Vertex AI, AWS Sagemaker).
Responsibilities
- Build rapid POCs leveraging large language models (LLMs), LangGraph, ADK, and other AI/ML tooling.
- Evaluate and experiment with open-source and proprietary AI tools to develop bespoke automation solutions for Finance.
- Translate finance requirements into working technical prototypes that demonstrate feasibility and value.
- Guide technical design, code quality, and implementation standards for AI prototypes.
- Work closely with Engineering partners to transition successful POCs into production systems.
- Ensure technical documentation, testing, and knowledge transfer are completed for handoff.
- Track adoption, performance, and feedback for AI-powered applications post-deployment.
Other
- Lead the development of an AI roadmap for Finance and Accounting in partnership with Finance leadership.
- Establish frameworks to evaluate and prioritize AI use cases based on impact, feasibility, and ROI.
- Continuously monitor AI trends and developments, identifying where new advancements can be applied within FinTech.
- Partner with the Finance, Accounting, Product, and Engineering teams to align AI initiatives with business priorities.
- Collaborate with internal AI teams across Uber to leverage shared platforms, infrastructure, and best practices.