About Nexa Legal
Nexa Legal builds specialized AI systems for litigation lawyers. Not generic copilots, but end-to-end workflows for real legal work: research, document analysis, and drafting with the lawyer fully in control.
We focus on what actually matters in this domain:
* Reliability (multi-model validation, LLMs-as-a-judge)
* Traceability (grounded outputs, citations)
* Privacy (EU-first, sensitive data handling)
We’re already seeing strong traction. Now we’re building the core system to scale it.
The Role
* You’ll be our first engineering hire.
* This is not a “join a team” role.
* This is a build the foundation role.
You will:
* Work directly with the CTO
* Shape architecture and technical direction
* Define how we build, ship, and scale
👉 If you want ownership, this is it.
⚡ What makes this interesting
* Real users, real constraints (privacy, correctness, legal impact)
* AI that needs to be right, not just “good enough”
* A system combining: LLM orchestration, structured workflows and evaluation layers
👉 This is not prompt engineering.
👉 This is AI product engineering at depth.
🚀 What you’ll do
* Build core product capabilities end-to-end (API UI infra)→ →
* Design and implement robust RAG pipelines
* Create evaluation frameworks (offline + online) and quality gates
* Develop durable workflows (Temporal or equivalent)
* Run and improve Kubernetes-based deployments
* Integrate multiple model providers with fallback logic
* Define engineering standards (PRs, releases, testing, docs)
🚀 You’re a strong fit if you
* Ship production features independently
* Take ownership of decisions and outcomes
* Have strong experience with .NET and modern TypeScript/React
* Understand (or want to go deep into) LLM systems (RAG, evals, grounding)
* Are comfortable with infrastructure (Kubernetes, CI/CD, environments)
* Communicate clearly and move fast
❌ Not a fit if
* You need detailed specs before starting
* You prefer large teams and clearly defined roles
* You’re not comfortable owning infra and product together
* You want to experiment rather than build production systems
🚀 Tech stack
* Backend: .NET
* Frontend: Next.js, TailwindCSS
* Workflows: Temporal
* AI/Cloud: GCP (Gemini, Vertex), Azure OpenAI
* Infra: Kubernetes, Helm, Scaleway
🚀 What you get
* Founding-level impact on product and engineering culture
* Direct collaboration with the CTO
* Real ownership from day one
* Competitive compensation (salary + upside potential depending on profile)
* Flexible setup, with Antwerp as home base
🚀 Apply
Send:
* GitHub / portfolio (or 2–3 projects you’re proud of)
* Short note: why this role fits you
* (Optional) example of how you used AI tools responsibly in production