Expectations
AI Solutions & Delivery
- Deliver priority AI initiatives together with teams and business leaders
- Design and launch agent-based workflows and internal AI tools
- Translate business needs into concrete technical solutions and production-ready implementations
- Partner with business stakeholders to shape and prioritize AI initiatives with real operational impact
Architecture & Orchestration
- Develop and evolve a shared framework for AI agent orchestration and automation workflows
- Design reusable components, integrations, connectors, and internal tooling
- Define scalable approaches for rolling out AI solutions across the company
- Ensure solutions are practical, reliable, and usable in real operating environments
Cross-Functional Collaboration
- Work directly with leaders across functions
- Assess feasibility, constraints, risks, and expected impact of AI initiatives
- Help the business understand what should be automated and what should not
- Act as a technical AI partner across the organization
Enablement & Best Practices
- Build templates, scripts, connectors, and tools that teams can use independently
- Share knowledge and enable teams to adopt AI more systematically
- Establish internal best practices and standards for working with AI agents
- Stay up to date with new models, tools, and approaches — and evaluate what is worth adopting
Metrics & Business Impact
- Define success criteria for AI initiatives together with business stakeholders
- Measure the impact of AI solutions: before vs after (speed, quality, throughput, error reduction, cost efficiency)
- Conduct ROI analysis and communicate it clearly to the business
- Provide regular reporting on impact, adoption, and key improvements
- Proven experience delivering AI solutions end-to-end in production environments: from identifying use cases to building and deploying solutions used in real business processes
- Strong hands-on approach: you personally design and implement solutions (not just coordinate teams or manage delivery)
- Background in software engineering, platform engineering, DevOps/SRE, or a related technical field
- Practical experience with AI/LLM solutions, agent-based systems, or automation workflows
- Ability to build real, working systems — not just experiment with tools
- Strong systems thinking and ability to understand processes end-to-end
- High level of autonomy and ownership
- Ability to explain complex technical concepts to non-technical stakeholders
- Willingness to work across different domains
- Pragmatic approach: ability to ship solutions quickly and improve them iteratively (speed over perfection)
- Native Russian language, good working level of English
- Experience with agent orchestration frameworks
- Experience building internal tooling and reusable automation layers
- Experience in fast-growing product companies
- Understanding of gamedev production pipelines
- Experience working with business metrics and ROI
- Full ownership of AI direction at the company level
- Work at the intersection of engineering, AI, and business
- Direct impact on how different teams operate
- Opportunity to build solutions that genuinely change how work is done
- High level of autonomy and speed of execution
Benefits
Our project is actively growing, as well as the team that creates it. We invest in the growth of each specialist and regularly review salaries based on performance. Moreover, we have a promotion system that allows specialists to showcase their talents in more responsible positions.
Hybrid work format in Almaty, Limassol or Belgrade with flexible working hours and the option to take days off without unnecessary bureaucracy. Relocation support is fully covered by the company.
We offer sick days without salary loss, assistance in difficult life situations, no bureaucratic nightmares and processes for the sake of processes.
Employment process
You apply for an open role via our careers portal. We carefully review your CV and any additional materials you provide.
If your experience matches our needs, we’ll invite you for an initial conversation with a recruiter. It’s a chance to get to know each other, talk about your motivation and expectations, and share more about the role and company.
You may be asked to take part in one or more technical interviews with the team. In some cases, we might also send you a test assignment to better understand your practical skills.
A closing conversation with a hiring manager or team lead. We’ll discuss the outcomes of the previous stages, cover any remaining questions, and align on expectations.
If everything goes well — we’ll extend a job offer. Once the details are confirmed, we’ll guide you through the onboarding process and welcome you to the team.