We are seeking a seasoned Sr. Software Engineer in the North America Mobility organization to contribute to the architecting and realization of our next-generation Agentic AI Platform. This role will design, develop, and maintain robust, scalable, and high-performance object-oriented code in our backend services, and work with cross-functional teams to define and implement new features.
Requirements
- Design, develop, and maintain robust, scalable, and high-performance object-oriented code in our backend services
- Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication
- Craft systems designs, lead design decisions, and drive alignment with other senior engineers
- Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests
- Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements
- Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market
- Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features
- Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices
- Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability
- Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution
- Maintain robust documentation (design docs, run books, change management docs, and readiness plans)
- Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement
- Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress
- Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms
- Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities
- Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems
- Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources
- Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency
- Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems
- Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness
Benefits
- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
