AI Automation Enginieer

About the project

We are building AI-driven automation team and we are looking for a hands-on engineer who:

·       will be focused on AI agents and automation,

·       can turn real operational problems into working solutions,

·       is able to build end-to-end flows that are long-term maintainable, not just components or prototypes.

A key part of this role is problem-solving at the intersection of business and technology – understanding what problem actually needs to be solved, challenging assumptions when needed and designing the most effective solution.

Your responsibilities

·       Design and build AI agents that:

o   orchestrate complex tasks and workflows,

o   call external systems and services,

o   apply business rules, context and decision logic,

o   are observable, cost-efficient and production-ready.

·       Turn real operational and business problems into working, reliable automation.

·       Actively analyse, challenge and refine requirements to ensure the right problems are being solved.

·       Communicate effectively with both technical and non-technical stakeholders.

·       Propose and implement the best possible solution, not just the first or most obvious one.

·       Build end-to-end solutions, not just isolated components or prototypes.

·       Implement practical AI patterns such as:

o   prompt orchestration,

o   tool / function calling,

o   system integrations.

·       Ensure solutions are maintainable, extensible and safe to run in production.

Our requirements

·       Hands-on engineering background with experience building production systems

·       Proven problem-solving mindset – able to break down ambiguous problems and design effective solutions

·       Experience working closely with business users and technical teams

·       Ability to understand, question and improve requirements, not just implement them

·       Practical experience with AI-based automation or agent-like architectures

·       Comfortable owning solutions from idea to production

·       Strong focus on reliability, maintainability and operational trust

Nice to have

·       Experience with RPA, workflow engines or process automation platforms

·       Familiarity with cost monitoring and observability for AI systems

·       Experience deploying AI solutions in regulated or operationally sensitive environments

·       Exposure to cloud platforms and modern integration patterns