Full Stack Engineer

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