Principal Engineer – Agentic Development

This is a fully remote position, open to applicants in Bulgaria.

📋 Description

• Collaborate with Product teams to transform initial ideation into well-structured Proofs of Concept.

• Define clear technical feasibility and scope.

• Create comprehensive specifications and acceptance criteria for coding agents.

• Take responsibility for the code generated by agents from deployment through to completion.

• Implement stringent quality standards for agent-generated outputs in a regulated decision-making context.

• Work within the agentic harness utilizing AGENTS.md files, architectural guidelines, reference documentation, linters, fitness tests, verification loops, and LLM-as-judge reviewers.

• Diagnose the underlying causes of recurring agent errors and develop systemic controls in collaboration with the harness team.

• Ensure the maintenance of accurate and up-to-date repository documentation, specifications, and contextual knowledge.

• Exercise technical judgment in architectural decisions, edge-case analysis, latency and integration risk assessment, auditability requirements, and agent autonomy.

⛳️ Requirements

• Proven experience in software engineering within extensive and complex codebases.

• Strong understanding of software architecture, testing methodologies, and long-term maintainability.

• Hands-on experience with AI coding agents such as Claude Code, GitHub Copilot, Codex, or Cursor.

• Awareness of the capabilities, limitations, and appropriate application of AI coding agents in production engineering workflows.

• Capability to critically assess agent-generated outputs and detect subtle errors or architectural flaws.

• Proficient in producing clear, unambiguous, testable, and actionable technical specifications and definitions of completion.

• Methodical approach to verification, checks, and test coverage.

• Responsibility for the quality and accuracy of delivered work.

• Familiarity with Python, SQL, JavaScript/TypeScript, AWS or Azure, Kubernetes, CI/CD pipelines, ML model deployment, or real-time decision-making systems.

• Experience in spec-driven development, context engineering, or agent orchestration is a plus.

• Knowledge of regulated or audited software delivery processes and controlled change management is an advantage.

• Background in decision-making, credit risk, fraud detection, analytics, optimization, or data engineering is beneficial.

• Ability to articulate a thoughtful approach to human-AI collaboration, delegation boundaries, human oversight, and achieving autonomy through demonstrated quality.

🏝️ Benefits

• Highly competitive compensation, benefits, and rewards programs.

• Work/life balance.

• Employee resource groups.

• Social events.

• Learning experiences and opportunities for professional development.

• An inclusive, people-first work environment.