AI Full Stack Engineer

Boomi

11d•$138,000 - $173,000•Hybrid

About The Position

Boomi's AI team is building the substrate for enterprise AI agents. As the Full Stack Engineer, you will ship the user-facing surfaces that turn the team's backend into something teams actually use: trust-admin UIs, eval dashboards, agent operator consoles, and application embeds. Second, you will champion modern programming methods across the team — AI-assisted coding, rapid prototyping, modern dev tooling, CI/CD discipline — multiplying every other engineer's velocity. Third, you will serve as the team's surge engineer for US-based projects that need fast turnaround.

Requirements

5+ years building production web applications end-to-end.
Strong TypeScript and React; proficient in Node.js or Python on the backend.
Has shipped at least one application integration (Lightning, Canvas, or AppExchange) or comparable integrations.
Comfortable with AWS (Lambda, API Gateway, IAM, Aurora).
Demonstrated experience using AI-assisted coding tools and modern dev workflows in production — and able to teach others.
Track record of rapid prototyping and shipping exec-facing work under deadline pressure.
Strong product and design instincts; comfortable engaging executives directly.
Has built dashboards or operator tools for data or ML systems.

Nice To Haves

Has built applications at scale.
Experience integrating with LLM provider APIs (Amazon Bedrock, OpenAI, Anthropic).
Familiarity with agent observability tools (LangSmith, Arize, Helicone).
B2B SaaS internal tooling background.
Has previously served as a tech-modernization champion or 'forward-deployed' engineer.
Background in design or UX, or a strong visual design sense.

Responsibilities

Build internal admin UIs for the trust layer: classification review, masking rules, policy authoring, audit log.
Build agent eval dashboards: retrieval quality, agent answer quality, gold-set management, A/B configuration.
Build the agent operator console for the agent program team — prompt versioning, rollouts, feature flags.
Ship agent embeds in applications (Lightning / Canvas, app + slash commands).
Establish and evangelize modern programming methods on this team — AI-assisted coding (Cursor, Claude Code, GitHub Copilot Workspaces), rapid prototyping, modern CI/CD, code-quality discipline. Run brown-bags; pair with India teammates on adopting new tools.
Set up dev infrastructure that makes the rest of the team faster: preview environments, automated tests, deployment automation.
Act as the team's go-to engineer for ad-hoc, US-based, time-boxed requests — fast prototypes, demos, one-off internal tools, and exec-facing dashboards.
Drive the policy SDK that agents call before retrieval.
Own front-end engineering quality: accessibility, observability, performance.