What you'll be doing

Designing, building, and maintaining scalable Python services, APIs, and data pipelines for the internal agent platform
Developing and deploying LLM agents, including tool integrations, orchestration, and state management
Building reusable platform capabilities to help teams develop, test, and operate AI agents in production
Improving agent reliability, observability, performance, and cost efficiency through evaluation, monitoring, and robust error handling
Breaking down complex AI and backend engineering problems into technical designs, reviewable components, and executable delivery plans
Reviewing designs and code, ensuring solutions are secure, maintainable, and suited to business needs

Requirements

5+ years of experience as a software engineer, focusing on backend systems
3+ years of experience engineering with Python as the primary language
Hands-on expertise developing LLM agents, with production experience in AI agent systems or platforms
Academic background in STEM
Fluency in SQL and proficiency in another object-oriented programming language
Experience with API development, integration, and distributed systems
Ability to write concurrent code for I/O-bound and CPU-bound workloads
Familiarity with Docker, Kubernetes, CI/CD, monitoring, and alerting
Understanding of production agent challenges, including tool execution, context management, evaluation, and failure handling
Ability to translate ambiguous requirements into clear designs, explain technical trade-offs, and deliver work through well-defined implementation steps

Certified as a Great Place to Work™ with a focus on outstanding employee experience
Opportunity to work remotely or from offices worldwide alongside 15,000+ colleagues
Inclusive, diverse, and multicultural work environment
Chance to contribute to a global financial super app mission