3 days ago
Remote, BulgariaStaff+
Responsibilities
- Collaborate with Product teams to translate early-stage ideas into structured proof-of-concepts and establish technical feasibility and scope.
- Write detailed specifications, acceptance criteria, and definitions of done for coding agents and engineering colleagues.
- Own agent-generated code through deployment and apply rigorous quality standards in a regulated decisioning environment.
- Operate the agentic harness using guides, architectural rules, reference documentation, automated sensors, verification loops, and LLM-based reviewers.
- Identify recurring agent errors and work with the harness team to implement systemic controls.
- Maintain accurate repository documentation, specifications, and shared contextual knowledge.
- Apply technical judgment to architecture, edge cases, latency, integration risks, auditability, and agent-autonomy boundaries.
Requirements
- Demonstrable software engineering experience with large, complex codebases and a strong foundation in software architecture, testing, and maintainability.
- Practical experience with AI coding agents such as Claude Code, GitHub Copilot, Codex, or Cursor.
- Ability to critically evaluate agent-generated output and identify subtle errors or architectural weaknesses.
- Ability to communicate precise, unambiguous, testable, and actionable technical requirements.
- A disciplined approach to verification, test coverage, correctness, and quality in mission-critical delivery.
- Familiarity with Python, SQL, JavaScript or TypeScript, AWS or Azure, Kubernetes, CI/CD pipelines, ML model deployment, or real-time decisioning systems.
- Experience with spec-driven development, context engineering, or agent orchestration is a significant advantage.
- Knowledge of regulated or audited software delivery processes and controlled change management is advantageous.
- Background in decisioning, credit risk, fraud detection, analytics, optimization, or data engineering is advantageous.
- Ability to articulate a thoughtful approach to human-AI collaboration, delegation boundaries, human oversight, and earning autonomy through quality.
Benefits
- Inclusive culture reflecting FICO’s stated core values.
- Professional development through learning experiences and opportunities to leverage individual strengths.
- Competitive compensation, benefits, and rewards programs.
- People-first work environment with work/life balance, employee resource groups, and social events.
Categories
About FICO
FICO (Fair Isaac Corporation) builds enterprise decision-management software, analytics, and the FICO Score used by lenders to assess consumer credit risk. It sells B2B software, cloud services, and scoring products to banks, insurers, telecoms, and other regulated industries, plus consulting. Founded in 1956 and headquartered in Bozeman, Montana, FICO is a public company on the NYSE; the FICO Score is used by most top U.S. lenders and available in 40+ countries.