Principal Harness Engineer

🕒 il y a 16 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🔴 Expert

👷🏻‍♀️ Ingénieur

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 16 jours.
• Les offres de cette entreprise sont généralement pourvues en 50 jours.
• Aucun salaire indiqué.

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FICO

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1956

💼 Conseil

🛡️ Assurance

🏥 Santé

Consulting • Insurance • Healthcare

FICO est un éditeur de logiciels et d’analytique de premier plan, renommé pour son FICO® Score, un outil largement utilisé par les prêteurs pour évaluer le risque de crédit. L’entreprise propose une plateforme complète qui exploite les données, l’IA et le machine learning afin de soutenir la prise de décision intelligente et l’engagement client dans de nombreux secteurs. Les solutions de FICO couvrent la détection de fraude, le scoring de crédit et la gestion du cycle de vie client, et sont essentielles pour des secteurs tels que la finance et les télécommunications. Ses produits innovants aident les entreprises à optimiser leurs résultats grâce à l’analytique en temps réel, à la composabilité métier et à la gestion des scénarios.

Description

• Design, build, deploy, and support core harness components, including guides, feedback loops, guardrails, and shared context • Own and evolve feedforward guides, agent instruction files, reusable skills, architectural rules, reference documents, and codemods • Drive team-wide standardisation for AI-agent outputs • Build feedback sensors such as custom linters, static analysis, architecture-fitness tests, verification loops, and LLM-as-judge reviewers • Own quality gating and release criteria for agent-produced work • Define authority boundaries for unaided agent merges and escalation rules for human review • Establish LLM testing infrastructure and evaluation approaches for AI-generated output • Apply consumer/contract testing where service integration reliability matters • Run the steering loop to prevent repeated agent mistakes and maintain repository knowledge • Decide where controls run across the path to production • Improve observability into agent work and track measures such as cost per merged PR, time-to-merge, review velocity, defect escape rate, and agent-PR survival rate • Partner with product and platform teams to turn specifications and acceptance criteria into enforceable controls • Serve as a technical expert and mentor engineers in harness practices and responsible AI-tool use

🎯 Exigences

• Bachelor's/Master's in Computer Science or related disciplines, or relevant commercial experience in software architecture, design, development, and testing • Experience as a seasoned software engineer with large, complex codebases • Strong foundation in architecture and design • Hands-on experience with AI coding agents such as Claude Code, Codex, or similar • Experience building engineering tooling across a modern stack, including linters, static analysis, CI/CD pipelines, containerised build/test environments, and instrumentation/observability • Familiarity with agent instruction conventions such as AGENTS.md • Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work • Ability to encode quality standards into mechanical, repeatable rules • Judgement regarding deterministic computational controls versus inferential LLM-based controls, including cost, speed, and reliability trade-offs • Experience owning quality-gating processes and defining release criteria • Working knowledge of autonomous-agent security, including prompt injection, tool/permission scoping, sandboxed execution, and audit trails • Experience with consumer/contract testing approaches such as Pact • Excellent communication skills and ability to articulate designs with architects and drive standards across teams

🏖️ Avantages

• Highly competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Valuable learning experiences • Professional development opportunities • Inclusive, people-first work environment

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