Senior AI Engineer – Harness Development

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

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Logo of Automat-it

Automat-it

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Automat-it is an all-in AWS Premier partner empowering startups with DevOps & FinOps expertise and hands-on services. Founded in 2012 by CEO Ziv Kashtan, Automat-it has guided and supported hundreds of startups to leverage AWS smarter throughout their growth journey. Specializing in DevOps, Cloud services, DBA, IT infrastructure, and Performance, they build cloud solutions from the DevOps perspective to optimize cloud performance and economics for their customers.

📋 Description

• Own features end-to-end, from vague stakeholder ask to production deployment, including discovery, design, implementation, testing, rollout and iteration • Refine requirements proactively using the Value, Usability, Feasibility and Viability (VUFV) framework • Challenge weak requirements, propose better solutions and maintain a tight feedback loop with stakeholders • Generate production code with AI while owning architecture, correctness, security, performance and long-term maintainability • Design and evolve company-specific AI engineering workflows, including development agents, multi-agent orchestration, evaluation pipelines and autonomous feature implementation • Continuously improve the engineering harness through context, prompts, skills, MCP integrations, validation workflows and developer automation • Solve deep technical problems across FinOps processes and AWS billing calculations • Ship scalable, maintainable, well-tested and well-documented software • Maintain architecture and implementation documentation

🎯 Requirements

• 5+ years of experience as a Full Stack Engineer shipping production systems • Deep expertise in the TypeScript ecosystem, particularly Node.js, NestJS, React, PostgreSQL and modern backend architecture • Strong product engineering mindset with ability to translate complex, ambiguous business requirements into scalable technical solutions and challenge assumptions • Proven production experience building autonomous software engineering workflows, AI engineering platforms, development agents or engineering automation, not just using AI coding assistants • Experience designing multi-agent workflows, autonomous development pipelines, evaluation and validation frameworks, or similar AI-native engineering systems • Strong understanding of Context Engineering, including managing repository context, engineering knowledge, MCP integrations and long-running agent workflows • Experience validating AI-generated code through automated evaluation, testing, CI/CD and review systems • Excellent debugging, problem-solving and software design skills, with focus on code quality, scalability and maintainability • Fluent written and verbal English • CV must be submitted in English

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