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Software Engineer

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Senior Software Engineer

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AI Engineer, Product

Requirements

  • 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience.
  • Strong TypeScript or Python skills - we have both tracks depending on team fit.
  • Production LLM experience: prompts, tool/function calling, system prompts.
  • Hands-on with evals and A/B testing; you can design metrics, not just run them.
  • Comfortable implementing directly in product code, not only notebooks.
  • Observability experience: logging, tracing, dashboards, alerting.
  • Product mindset: form hypotheses, run experiments, interpret results, ship.
  • Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.

Nice to Haves

  • Safety systems experience: moderation, PII handling/redaction, guardrails.
  • Release operations: canary/shadowing, automated rollbacks, experiment platforms.
  • Prior work on search ranking, chat systems, document AI, or audio ML features.

What you will be doing

  • Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.
  • Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.
  • Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work.
  • Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data.
  • Set up observability for LLM calls: structured logging, tracing, dashboards, alerts.
  • Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection.
  • Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.
  • Create templates and documentation so other teams can author evals and ship safely.
  • Partner with Science to diagnose regressions and lead post-mortems.

Perks and Benefits

  • Not specified in the provided content.
AI Summary ✨
Mistral AI logo

Mistral AI

Paris, France

Experience: Mid-level
Posted: December 23, 2025
Last seen: 2 hours ago
Python
Typescript
machinelearning

Why we track Mistral AI

Mistral AI is a Paris-based AI company building frontier large language models. Founded by former DeepMind and Meta researchers, they're one of Europe's most important AI companies. If you want to work on cutting-edge AI research and infrastructure in Europe, Mistral is the one to watch.

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