
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.
🕒 August 11
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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.
• Design, develop, deploy, and support harness components including guides, feedback loops, guardrails, and shared context • Build feedforward guides such as agent instruction files, reusable skills, architectural rules, reference documents, and codemods • Build feedback sensors including custom linters, static analysis, structural and architecture-fitness tests, verification loops, and LLM-as-judge reviewers • Run the steering loop to prevent repeated agent mistakes and maintain repository knowledge legibility • Contribute to quality gating, release criteria, and LLM testing for AI-generated output quality and safety • Improve observability into agent work and track cost per merged PR, time-to-merge, review velocity, defect escape rate, and agent-PR survival rate • Evaluate harness component stability, compatibility, scalability, interoperability, and performance • Learn new agent-augmented engineering techniques and mentor junior team members
• Bachelor's/Master's in Computer Science or related disciplines, or relevant experience in software architecture, design, development, and testing • Strong software engineering background with experience in large codebases, architecture, testing, and maintainability • Experience building tooling across a modern stack, including linters, static analysis, CI pipelines, containerized build/test environments, and instrumentation/observability • Familiarity with agent instruction conventions such as AGENTS.md • Hands-on experience with AI coding agents such as Claude Code, Codex, or similar • Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work • Systems mindset and ability to encode quality standards into mechanical, repeatable rules • Judgment regarding deterministic computational controls versus inferential LLM-based controls, including cost, speed, and reliability trade-offs • Clear communication skills; ability to articulate designs with architects and discuss strategy and requirements with teams
• Inclusive culture reflecting FICO's core values • Professional development and valuable learning experiences • Competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Equal employment and advancement opportunities
Apply Now🕒 August 11
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