Senior AI Engineer – Harness Development

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

📋 Description

• Take ownership of features from inception to deployment, encompassing discovery, design, implementation, testing, rollout, and iterative improvements.

• Actively refine requirements using the Value, Usability, Feasibility, and Viability (VUFV) framework.

• Challenge inadequate requirements, suggest improved solutions, and maintain a close feedback loop with stakeholders.

• Produce production-ready code with AI, ensuring responsibility for architecture, correctness, security, performance, and long-term maintainability.

• Design and enhance company-specific AI engineering workflows, including development agents, orchestration of multiple agents, evaluation pipelines, and autonomous feature implementation.

• Consistently enhance the engineering harness through contextual insights, prompts, skills, MCP integrations, validation workflows, and developer automation.

• Address complex technical challenges across FinOps processes and AWS billing calculations.

• Deliver scalable, maintainable, thoroughly tested, and well-documented software.

• Keep architectural and implementation documentation up to date.

⛳️ Requirements

• Over 5 years of experience as a Full Stack Engineer delivering production systems.

• Extensive knowledge of the TypeScript ecosystem, particularly Node.js, NestJS, React, PostgreSQL, and contemporary backend architecture.

• Strong product engineering mindset capable of translating complex and ambiguous business requirements into scalable technical solutions while questioning assumptions.

• Demonstrated production experience in building autonomous software engineering workflows, AI engineering platforms, development agents, or engineering automation, beyond merely utilizing AI coding assistants.

• Experience in designing multi-agent workflows, autonomous development pipelines, evaluation and validation frameworks, or similar AI-native engineering systems.

• Solid understanding of Context Engineering, which includes managing repository context, engineering knowledge, MCP integrations, and long-duration agent workflows.

• Experience in validating AI-generated code through automated evaluation, testing, CI/CD, and review systems.

• Exceptional debugging, problem-solving, and software design capabilities, with an emphasis on code quality, scalability, and maintainability.

• Proficient in written and verbal English.

• CV must be submitted in English.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and the option for remote work.

• Opportunities for professional development and continuous learning.

• Collaborative and inclusive company culture.

• Health and wellness benefits.