Full-Stack Platform Engineer - Enterprise AI Tools

Remanence; Paris; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Visa sponsorship

Hybrid work setup

Relocation support

Job summary

Remanence is building the next era of enterprise AI, transforming complex workflows into dynamic, interactive environments where AI agents can learn and adapt. You’ll contribute to the web app, APIs, SDKs, and backend services that tie agent activity to evaluation and training, enabling researchers and customers to use the platform independently.

You’ll work on interfaces for agent traces, environments, verifiers, training runs, and evaluations, plus APIs to connect customers’ tools.

Qualifications

• Strong production experience building backend systems in Python is mandatory.
• Ability to design APIs with good data modeling and correctness under concurrency and failure.
• Experience shipping and owning production software matters; ML experience not required.

Responsibilities

• Build interfaces for exploring agent traces, creating environments and verifiers, launching training runs, and comparing evaluations.
• Develop APIs and SDKs that connect customers’ existing agents, tools, and data to the company.
• Build backend workflows for sandboxed agent sessions, evaluations, and training jobs, with live progress, cancellation, retries, and clear failure handling.
• Implement platform foundations including authentication, permissions, customer isolation, and audit trails.
• Own features from prototype to production, working directly with researchers and customers to turn deployment feedback into reusable product capabilities.
• Own your services in production: testing, observability, performance and on-call.

Job description

Remanence is building the next era of enterprise AI, transforming complex workflows into dynamic, interactive environments where AI agents can learn and adapt. You’ll contribute to the web app, APIs, SDKs, and backend services that tie agent activity to evaluation and training, enabling researchers and customers to use the platform independently.

You’ll work on interfaces for agent traces, environments, verifiers, training runs, and evaluations, plus APIs to connect customers’ tools.