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.

Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.

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 xqknzec 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