Senior 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-defined Proofs of Concept.

• Establish clear technical feasibility and project scope.

• Create comprehensive specifications and acceptance criteria for coding agents.

• Take ownership of the resulting code throughout the deployment process.

• Implement stringent quality standards for agent-generated outputs within a regulated decision-making environment.

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

• Identify the root causes of recurring errors in agents.

• Collaborate with the harness team to establish systemic controls.

• Maintain precise 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, and determining agent-autonomy boundaries.

⛳️ Requirements

• Proven experience in software engineering within large and intricate codebases.

• Strong foundation in software architecture, testing methodologies, and long-term maintainability.

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

• Understanding of the capabilities and limitations of AI coding agents and their appropriate use in production.

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

• Capability to produce precise, clear, testable, and actionable technical specifications and definitions of completion.

• A disciplined approach to verification, checks, and test coverage.

• Results-driven mindset with a commitment to the quality and accuracy of delivered work.

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

• Experience with specification-driven development, context engineering, or agent orchestration is a notable advantage.

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

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

• Ability to articulate human-AI collaboration, delegation boundaries, human oversight, and how to earn autonomy through demonstrated quality.

🏝️ Benefits

• Highly competitive compensation, benefits, and rewards programs.

• Work/life balance.

• Employee resource groups.

• Social events.

• Opportunities for professional development and valuable learning experiences.

• An inclusive, people-first work environment.

• Freedom to develop skills and advance your career.