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FICO

Senior Harness Engineer

FICO

. Design, build, deploy, and support core harness components, including guides, feedback loops, guardrails, and shared context .

Posted 10/27/2026full-timeRemote • BulgariaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture, design, and development, with a strong focus on AI coding agents and engineering tooling. Capable of establishing quality-gating processes and driving standardization across teams while mentoring engineers in best practices.

Highest-signal resume keywords
Software ArchitectureAI Coding AgentsEngineering ToolingQuality-Gating ProcessesConsumer/Contract Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentStatic AnalysisCI/CD PipelinesContainerized EnvironmentsSpec-Driven DevelopmentContext EngineeringAgent OrchestrationDeterministic ControlsQuality Criteria DefinitionAutonomous-Agent Security
Soft Skills
Excellent CommunicationMentoring
Tools & Technologies
LintersFeedback SensorsVerification LoopsLLM Testing InfrastructureObservability Tools
Industry Keywords
Complex CodebasesAgent Instruction ConventionsFitness FunctionsDeveloper-Platform WorkPrompt Injection

About the role

Key responsibilities & impact
  • 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 agent-generated engineering output
  • Build feedback sensors such as custom linters, static analysis, structural and 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 quality and safety
  • Apply consumer/contract testing where service integration reliability matters
  • Run the steering loop to prevent repeated agent mistakes and maintain repository knowledge as the system of record
  • Decide where controls run across the path to production, including pre-commit, post-integration, and continuous drift monitoring
  • Improve observability into agent work and track metrics 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 technical expert and mentor engineers in harness practices and responsible AI-tool use

Requirements

What you’ll need
  • 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
  • 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 engineering standards into mechanical, repeatable rules
  • Understanding of deterministic computational controls versus inferential LLM-based controls and their 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

Comp & perks
  • 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