FICO
1001 - 5000 employees
Founded 1956
💼 Consulting
🛡️ Insurance
🏥 Healthcare
Consulting • Insurance • Healthcare
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
Principal Harness Engineer
🔥 17 hours ago
Where this job comes from
Posted on FICO's careers page, not through a job board
First seen by Remote Rocketship 17 hours ago
Still open on FICO's site. Checked 1 hour ago.
FICO
1001 - 5000 employees
Founded 1956
💼 Consulting
🛡️ Insurance
🏥 Healthcare
Consulting • Insurance • Healthcare
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
📋 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 docs, and codemods • Drive team-wide standardisation so agents produce correct output on the first attempt • 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 and maintain repository knowledge as the system of record • Decide where controls run in the path to production • Improve observability into agent work and track engineering and agent-PR metrics • Partner with product and platform teams to turn specifications and acceptance criteria into enforceable controls • Serve as a technical expert and mentor engineers across teams in harness practices and responsible AI-tool use
🎯 Requirements
• Bachelor's/Master's in Computer Science or related disciplines, or relevant commercial experience in software architecture, design, development, and testing • Seasoned software engineer with experience in large, complex codebases and a strong foundation in architecture and design • Hands-on experience with AI coding agents (e.g. Claude Code, Codex, or similar) • Experience building engineering tooling across a modern stack, including linters and 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, audit trails, and least-privilege guardrails • Experience with consumer/contract testing approaches such as Pact • Excellent communication skills and ability to articulate design with architects and drive standards across teams
🏖️ Benefits
• Highly competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Learning experiences and professional development opportunities • Inclusive, people-first work environment
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