Senior AI Engineer – Harness Development

🕒 vor 16 Tagen

🇺🇦 Ukraine – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

👻 Geisterscore 12%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Automat-it

Automat-it

51 - 200 Mitarbeiter

💼 Beratung

📦 Logistik

📣 Marketing

Consulting • Logistics • Marketing

Automat-it ist ein AWS Premier Partner mit umfassender DevOps- und FinOps-Expertise sowie praxisnahen Services für Start-ups. Das 2012 von CEO Ziv Kashtan gegründete Unternehmen hat bereits Hunderte von Start-ups dabei begleitet und unterstützt, AWS auf ihrem gesamten Wachstumspfad effizienter zu nutzen. Automat-it ist auf DevOps, Cloud-Services, DBA, IT-Infrastruktur und Performance spezialisiert. Das Unternehmen entwickelt Cloud-Lösungen aus der DevOps-Perspektive, um die Cloud-Performance und Wirtschaftlichkeit seiner Kunden zu optimieren.

Beschreibung

• 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

🎯 Anforderungen

• 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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