Template of Member of Technical Staff — Full-Stack

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

Member of Technical Staff — Full-Stack

the company is pioneering the next era of enterprise AI by building intelligent systems that learn continuously from real-world execution. We transform complex enterprise workflows and business context into dynamic, interactive environments where AI agents can safely learn, adapt, and improve. By combining high-fidelity simulation environments with state-of-the-art training loops, we build specialized models that solve long-horizon, complex tasks with unmatched reliability. We're building the most talent-dense AI team in Europe to make this happen.

You’ll build the product through which researchers and customers use the company: the web application, APIs, SDKs, and backend services connecting agent activity to evaluation and training. Your goal is to turn complex research capabilities into an intuitive platform that customers can use independently.

What you'll work on

• 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.

Relevant technologies

• Backend: Python, Rust, FastAPI or Node.js, PostgreSQL, Redis, REST and gRPC.

• Frontend: TypeScript, React, Next.js, and interfaces for streaming events and data visualization.

• Platform: Docker, Kubernetes, Ray, and durable workflow orchestration such as Temporal.

• Bonus: Rust, Python/TypeScript SDK development, or experience building tools for agents and ML workflows.

• Strong production experience building backend systems in Python is mandatory.

About you

You're a strong backend engineer who is comfortable shipping a clean, useful interface. You care about API design, data modeling and correctness under concurrency and failure. You enjoy working closely with researchers and customers, and turning rough needs into tools people rely on.

We welcome both experienced specialists and generalists who learn exceptionally quickly. Experience deploying agents in production is nice to have. But prior ML experience is not required; evidence of shipping and owning production software matters.

What we offer

• Competitive compensation and equity.

• A fast-paced environment combining frontier research with impactful real-world applications.

• Visa sponsorship and relocation support for candidates joining us.

• A flexible hybrid setup, with a preference for working together in person.