Description
About the Role
Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You'll join a passionate team focused on building high-quality, scalable products with real-world impact.
We're looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You'll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.
As a Staff Engineer you'll:
- Build core services for Tide's agentic platform, including APIs, workflow orchestration, and tool integration
- Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
- Work with product, data, platform, and security teams to productionise shared AI capabilities
- Design services that are reliable, secure, observable, and easy for other teams to adopt
- Help shape reusable engineering patterns for AI-enabled workflows
What We Are Looking For:
- Strong backend or platform engineering experience in production environments.
- Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
- Experience integrating internal and third-party platforms.
- Comfort working in ambiguity and turning emerging needs into robust platform components.
- Strong focus on quality, reliability, and developer usability.
- Experience with AI infrastructure or orchestration is helpful, but not essential.
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management