# Senior Backend Engineer — Data Platform & AI Agents at Jus Mundi

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement agentic ingestion p

- **Company:** Jus Mundi (https://jobs.trythestack.co/companies/jus-mundi)
- **Location:** France
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Backend engineering, LLM orchestration, Postgres, Data modeling, Agentic systems, API design, Kubernetes, CI/CD, System architecture, OCR, Data processing, Async I/O, Cloud infrastructure, DevOps
- **Posted by employer:** 2026-08-06
- **Added to The Stack:** 2026-08-07
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://ats.rippling.com/jus-mundi-careers/jobs/a0f67637-7242-4f3c-a6cd-3d18213d2336 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-backend-engineer-data-platform-ai-agents-jus-mundi

## About the role

Responsibilities:
- Design and implement agentic ingestion pipelines that discover, acquire and normalize documents from many heterogeneous sources.
- Build and own the transactional catalog and its public API, modelling evolving legal documents with provenance and confidence metadata.
- Implement document processing: OCR, extraction, multilingual text processing, metadata enrichment and versioned derived data.
- Ensure quality at scale via test sets, confidence thresholds, regression tracking and measurable production validations (no manual gate).
- Deploy, instrument and operate services: logging, metrics, traces and tooling to reconstruct a document’s history end-to-end.
- Collaborate closely with Legal Content, Search, AI and Product teams to align correctness and consumer needs.

Requirements:
- 5+ years backend engineering experience with strong production Python skills.
- Practical experience with LLMs/agent orchestration and integrating them into backend workflows (not research-only).
- Deep knowledge of Postgres (including JSONB), data modelling for heterogeneous schemas and transactional systems.
- Solid system architecture and DevOps skills: Kubernetes, CI/CD, observability, scalability and failure-mode thinking.
- Familiarity with OCR, multilingual processing and building regenerable derived data pipelines.
- Strong ownership mindset: able to design APIs, operate services in production and work cross-functionally on product-quality requirements.

## Responsibilities

You will build and own the agentic data platform responsible for acquiring, processing, and enriching legal documents. This involves designing transactional APIs, managing document ingestion pipelines, and ensuring high-quality data output for downstream AI and search services.

## Requirements

The role requires 5+ years of experience in backend engineering with strong Python skills and hands-on experience in agentic or LLM-based systems. Candidates must demonstrate deep knowledge of Postgres, system architecture, and a strong DevOps mindset for operating production services.

## FAQ

- **Is this Senior Backend Engineer — Data Platform & AI Agents role still open?** It was posted on 2026-08-06. Listings more than 30 days old may no longer be active, so check Jus Mundi's site before applying.
- **Does Jus Mundi offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Jus Mundi's site.
- **Where is this role located?** The listing gives the location as France. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Backend engineering, LLM orchestration, Postgres, Data modeling, Agentic systems, API design, Kubernetes, CI/CD, System architecture, OCR, Data processing, Async I/O, Cloud infrastructure, DevOps.

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