Senior Full-Stack Engineer for AI-Driven M&A Platform

Startup Atlas

Belgique

Remote

EUR 70,000 - 100,000

Full time

8 days ago

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Benefits offered by this job

MacBook and tools
Mobility budget
Meal and eco-vouchers
Hospitalization insurance
Health insurance (collective)
Ghent office with skyline view
Contractor options possible

Job summary

Jurimesh is an AI-powered platform for legal due diligence in M&A across Europe. As a Senior Full-Stack Developer, you will own end-to-end development—from design of APIs to frontend features—and scale the platform that powers AI-driven due diligence for deals.

You will work with our CTO, shape architecture, and ship impactful infrastructure used by top law firms and PE houses. You'll contribute across the stack, build and optimize LLM/ML pipelines, and improve performance and infrastructure.

Qualifications

  • Experience building APIs and backend services across the full stack.
  • Develop and optimize ML/LLM pipelines for AI-powered platforms.
  • Frontend feature development and user-facing improvements.
  • Scale background processing systems and optimize performance.
  • Collaborate closely with CTO and engineering teams.

Responsibilities

  • Design and build APIs and backend services
  • Develop and optimize LLM/ML pipelines
  • Build frontend features
  • Scale background workers and processing systems
  • Improve performance and infrastructure

Skills

APIs design
Backend services
LLM/ML pipelines
Frontend features
Background workers
Performance & infra
Architecture decisions
CTO collaboration

Tools

Claude Code

Job description

Jurimesh is an AI-powered platform for legal due diligence in M&A across Europe. As a Senior Full-Stack Developer, you will own end-to-end development—from design of APIs to frontend features—and scale the platform that powers AI-driven due diligence for deals.

You will work with our CTO, shape architecture, and ship impactful infrastructure used by top law firms and PE houses. You'll contribute across the stack, build and optimize LLM/ML pipelines, and improve performance and infrastructure.

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