The work focuses on the continued development of an AI-assisted service that supports requirements drafting and governance reviews, drawing on content from the developer portal and source code repositories. The service is built on a React/TypeScript frontend, a Go API, Python-based agent and ingestion services using Google ADK, Vertex AI, PostgreSQL/pgvector, MCP integrations, and Terraform on GCP. The main goal is to deliver prioritized features and integrations and to make the service production-ready.
Your responsibilities
- Refine and prioritize the backlog together with the product owner.
- Deliver prioritized features and integrations, such as persistent agent sessions, dynamic reasoning engine resolution, access controls, and audit attribution, and support new-project onboarding.
- Fix UI issues and build new user-facing features.
- Help establish production infrastructure and operational readiness, including backup and recovery, availability, alerting, stricter TLS and network controls, and Terraform improvements.
- Use AI-assisted development to speed up delivery while maintaining code quality and security.
Requirements
- Strong production experience in Go and/or Python.
- Experience with API and data integrations.
- Experience building AI/LLM or agent-based features.
- Experience in cloud service development, automated testing, and secure engineering.
- Strong hands-on use of AI coding tools or agents, with the ability to review and test generated code.
Nice to have
- Experience with MCP integrations.
- Experience with React/TypeScript.
- Experience with GCP, Vertex AI, or Google ADK.
- Experience with Terraform and PostgreSQL/pgvector.
- Experience with production deployment and observability.
Interested?
Apply immediately (we will start going through applications right away) by clicking "interested". Due to the high volume of applications, we do no process applications received via email.