Eve

Software Engineer, Full Stack - GTM

Remote - US · Senior

Sponsorship not specified$250k-$300kDetected 35 days ago

Code ReviewRESTSpark

About the role

it's one surface among many coming, and you'll have a real hand in deciding how the rest get built.
You'll be the second engineer on this surface, working as a true peer to our current engineer - tag-teaming the big ambiguous projects and running whole workstreams independently.

Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there.
It's how we build it.
If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
We're on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
End-to-end ownership. Own workstreams across frontend, backend, APIs, and data - and run several in parallel - from ambiguous business problem to shipped, monitored, maintained software.
Reusable primitives over one-offs. When the same problem shows up repeatedly, build the ingestion, storage, generation, evaluation, and observability pieces that unlock the next ten workflows.
The web platform. Own and evolve our content-driven site as one of several surfaces - fast, accessible, and safe for non-engineers to publish to.
Working with the business. Partner directly with growth, sales, and RevOps - do the discovery, translate messy workflows into software, and measure whether it actually helped.
Raising the bar. Lift the team through code review, reusable patterns, and good "do we even build this?" judgment - including saying no when that's the right answer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

A track record integrating messy third-party APIs reliably - attribution, identity resolution, lead routing, enrichment, scoring, sync-failure handling.
Growth, activation, or web-platform engineering - experimentation, conversion, performance, SEO, and the metrics and guardrails that go with them.
Internal tools for non-engineering teams that were genuinely adopted, with discovery done before building.
Fluency with AI-assisted development - orchestrating tools like Claude Code, Cursor, or Codex as a real part of your workflow, with strong opinions on task decomposition, context-setting, review, and the tests and guardrails that keep AI-generated work from degrading quality.
It's central to how this team works.
Applied LLM, agent, or automation systems taken well past prototype, with real attention to evals, observability, and failure modes.

This listing is sourced directly from Eve's careers page and normalized into a canonical job model.