Software Engineer

This hands-on, AI-native Full Stack Developer role is part of a small team with a large mandate, where each hire significantly shapes the product and delivery approach. You will work daily alongside AI coding agents to deliver production-quality frontend, backend, database, and integration work end-to-end, ensuring correctness, security, testing, and readiness for review. You will also support client delivery by translating business requirements into technical specifications and demoing working solutions to stakeholders. Responsibilities
- Build and ship frontend and backend features end-to-end for Iris and client-facing products, covering UI, API, and database schema.
- Use AI coding agents (e.g., Claude Code) as a core part of daily development workflow to produce first drafts of features.
- Run multiple agents or workstreams in parallel across concurrent tickets and context-switch cleanly without losing quality.
- Review, refactor, and QA your own work before handoff, catching hallucinations, security anti-patterns, logic errors, and regressions in agent-generated code.
- Verify implementations against acceptance criteria and ensure submitted work meets the bar for final PR approval by the Senior Full Stack Developer.
- Implement against shared contracts (interfaces, abstract classes, shared data models) and flag gaps or inconsistencies encountered during development.
- Write automated tests at unit, integration, and end-to-end levels, including writing tests before code in collaboration with the Engineer in Test.
- Integrate with RESTful and GraphQL APIs and contribute to internal API contract design for multi-service architectures.
- Support CI/CD pipeline configuration, cloud environment setup, and deployment automation for internal and client-facing systems.
- Act as a technical point of contact for clients during delivery engagements by translating business requirements into technical specifications and demoing working solutions to stakeholders. Required Qualifications
- 1–3 years of professional software engineering experience (internships, apprenticeships, and demonstrated project work count).
- Working proficiency in at least one modern backend language (Node.js/TypeScript, Python, or Go) and one frontend framework (React, Next.js, or equivalent).
- Hands-on experience building full-stack features end-to-end, including database schema and UI (not just consuming APIs designed by others).
- Practical, daily experience using at least one AI coding agent (e.g., Claude Code, GitHub Copilot, Cursor, or equivalent) as a core part of the development workflow.
- Demonstrated ability to run parallel, agent-assisted workstreams and context-switch across multiple projects or tickets without losing quality.
- Comfort reading, reviewing, and correcting AI-generated code, including identifying hallucinations, security anti-patterns, and logic errors.
- Working knowledge of automated testing (unit, integration, end-to-end), including writing tests before code.
- Basic working knowledge of cloud infrastructure fundamentals: containerization, managed databases, or serverless compute on AWS, GCP, or Azure. Preferred Qualifications
- Familiarity with Model Context Protocol (MCP) tooling, LLM orchestration patterns, or agent SDK frameworks.
- Experience integrating with third-party APIs, CRMs, or building agent-driven automation (e.g., messaging platforms, email, webhook-driven workflows).
- Experience authoring BRDs/PRDs or scoping documents that separate genuinely-built functionality from demo/simulated functionality.
- Exposure to government, enterprise, or other regulated-industry delivery contexts.
- Contributions to hackathons, open-source projects, or other public technical work demonstrating initiative.
- Ability to learn and adapt as AI tools and frameworks change.