Senior Engineer (Agentic Development)

Location: Remote from Bulgaria

Company

hirify.global is a global analytics software company developing decisioning technology for credit risk, fraud detection, regulatory compliance, marketing, and customer engagement.

What you will do

• Collaborate with Product teams to turn early-stage ideas into structured proofs of concept, defining technical feasibility and scope.
• Produce detailed specifications and acceptance criteria that enable coding agents to generate maintainable, well-architected software, and own the resulting code through deployment.
• Review agent-generated output against rigorous quality standards for regulated, mission-critical software.
• Use the agentic harness, including AGENTS.md files, 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 across the codebase.
• Maintain repository documentation and apply technical judgement to architecture, edge cases, latency, integration risk, auditability, and limits of agent autonomy.

Requirements

• Demonstrable software engineering experience in large, complex codebases, with a strong foundation in software architecture, testing, and long-term maintainability.
• Practical experience with AI coding agents such as Claude Code, GitHub Copilot, Codex, or Cursor, including their capabilities, limitations, and appropriate use in production workflows.
• Ability to critically evaluate agent-generated output, identify subtle errors or architectural weaknesses, and decide when to intervene in the agent workflow.
• Ability to communicate technical requirements precisely through unambiguous, testable, and actionable specifications and definitions of done.
• Disciplined approach to verification, including questioning correctness, building appropriate checks, and applying rigorous test coverage in regulated and mission-critical delivery contexts.
• Results-oriented delivery approach with accountability for the quality and correctness of shipped work.
• Familiarity with relevant technologies including Python, SQL, JavaScript/TypeScript, AWS or Azure, Kubernetes, CI/CD pipelines, ML model deployment, or real-time decisioning systems.

Nice to have

• Experience with spec-driven development, context engineering, or agent orchestration in a team environment.
• Knowledge of regulated or audited software delivery processes and controlled change management.
• Background in decisioning, credit risk, fraud detection, analytics, optimisation, or data engineering.
• Ability to articulate a considered approach to human-AI collaboration, including delegation boundaries, human oversight, and earning autonomy through demonstrated quality.

Culture & Benefits

• Inclusive culture reflecting the values of acting like an owner, delighting customers, and earning the respect of others.
• 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.