3 days ago
Remote, BulgariaStaff+
Responsibilities
- Collaborate with Product teams to translate early-stage ideas into structured proofs of concept with clear technical feasibility and scope.
- Produce detailed specifications and acceptance criteria that enable coding agents to generate maintainable, well-architected output.
- Own resulting code through deployment and apply rigorous quality standards to agent-generated software.
- Operate within the agentic harness using guides, architectural rules, reference documentation, linters, fitness tests, verification loops, and LLM-as-judge reviewers.
- Identify recurring agent errors and implement systemic controls with the harness team to prevent repeated failures.
- Maintain accurate repository documentation, specifications, and shared contextual knowledge.
- Make technical judgments about architecture, edge cases, latency, integration risk, auditability, and the boundaries of agent autonomy.
Requirements
- Demonstrable software engineering experience in large, complex codebases with 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 evaluate agent-generated output, identify subtle errors or architectural weaknesses, and determine when to intervene.
- Ability to write precise, unambiguous, testable, and actionable technical specifications and definitions of done.
- Disciplined approach to verification, test coverage, correctness, and quality in regulated or mission-critical delivery contexts.
- Familiarity with Python, SQL, JavaScript or TypeScript, AWS or Azure, Kubernetes, ML model deployment, or real-time decisioning systems.
- Experience with spec-driven development, context engineering, or agent orchestration is advantageous.
- 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 considered approach to human-AI collaboration, delegation boundaries, human oversight, and earning autonomy through demonstrated quality.
Benefits
- Inclusive culture reflecting FICO’s stated values and opportunities for professional development and learning.
- Competitive compensation, benefits, and rewards programs.
- People-first work environment with work/life balance, employee resource groups, and social events.
- Equal employment opportunity employer committed to an inclusive and diverse workplace.
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.