Senior AI Engineer (Harness Development)

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500 AWS certifications Automat-it brings hands-on expertise in AI DevOps and FinOps to empower fast-paced startups to grow deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US fueling innovation and solving complex challenges daily. Join us to grow your skills shape bold ideas and help build the future of tech.

We are looking for a Senior AI Engineer (Harness Development) to join our dynamic R&D Team where you will own high-scale features end-to-end across our FinOps platform and AWS billing engine - contributing directly to our mission of empowering fast-paced startups.

This role is for an engineer who has already built AI-driven software development systems not just used AI coding assistants. Were looking for someone with production experience designing autonomous engineering workflows improving how software is built through agents and turning AI from an individual coding tool into an engineering capability used across a team. Were looking for someone excited that the craft of software is changing and who wants to operate at (and help define) the frontier of it.

You will work with: (NestJS Fastify Prisma ORM) React (TanStack TipTap Material UI Untitled UI) PostgreSQL.

Work location: remote from Ukraine

Curious about what its really like to work at Automat-it

Explore our benefits culture and what success in your first year could look like here.

If you are interested in this opportunity please submit your CV in English.

• 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 taking full ownership of 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 improving how software is built rather than simply consuming existing AI tools.
• Continuously improve the engineering harness by refining context prompts skills MCP integrations validation workflows and developer automation that enable reliable AI-assisted software delivery at scale.
• Solve deep technical problems across FinOps processes and AWS billing calculations.
• Ship scalable maintainable well-tested and well-documented software while maintaining the architecture and implementation documentation behind it.

Requirements:

• 5 years of experience as a Full Stack Engineer shipping production systems.
• Deep expertise in the TypeScript ecosystem particularly NestJS React PostgreSQL and modern backend architecture.
• Strong product engineering mindset with the ability to translate complex ambiguous business requirements into scalable technical solutions and challenge assumptions when theres a better approach.
• 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 a strong focus on code quality scalability and maintainability.
• Fluent written and verbal English.

Nice to have

• Experience building autonomous feature development or ticket-to-code workflows.
• Experience with planner generator evaluator or other multi-agent orchestration patterns.
• Experience building custom MCP servers AI developer tooling or internal engineering platforms.
• Experience with AI evaluation frameworks engineering knowledge systems or long-running autonomous agents.
• Experience with vector databases.
• Experience with monorepo tooling (Turborepo Nx).
• Experience with Puppeteer / Playwright.
• Strong SQL knowledge.
• Experience with Fastify.
• Familiarity with AWS services.
• Experience with financial dashboards or data-heavy products.
• Strapi Framework experience.
• Experience with Material UI at scale.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills recognizing the value you bring to our team.