Senior AI Solutions Engineer

Direction

We are building a dedicated AI direction - a role not tied to a specific product, focused on bringing AI into the company's work: building AI processes, integrating AI tools into teams' daily work, and creating in-house AI tools and agents for internal needs (current agent stack - LangGraph ts).

This is a position for an experienced engineer with strong fundamentals who is AI-native in daily work and knows how to take ideas to working tools. You'll move the direction technically as a hands-on Senior: choosing approaches, building solutions, and spreading AI practices across teams.

What you'll do

• Design and build AI tools and agents for the company's internal needs.
• Integrate AI into teams' daily workflows (development, support, operations), improving their productivity.
• Automate internal and operational processes through agentic workflows and pipelines.
• Evaluate, pilot, and roll out AI-ecosystem tooling (Claude / Claude Code, Codex, etc.); establish usage practices and guidelines.
• Ensure reliability of AI solutions: prompt quality, structured outputs, error handling, and output validation.
• Move the AI direction technically: choosing approaches, solution architecture, spreading expertise across teams.

Example focus areas (indicative):

• AI assistant / RAG over the company's internal knowledge and documentation.
• Agents for automating routine flows (support, CRM, reporting).
• Developer-productivity tools: AI code review, code generation/migration, PR automation.

Expectations

• Experienced engineer: 5+ years of commercial development, strong fundamentals, confident system design, ability to take a task from idea to production on your own.
• AI-native in daily work: you confidently use AI dev ecosystems (Claude Code, Codex, etc.); strong prompt engineering; you understand the capabilities and limits of agentic tools - tool use, "skills", structured outputs.
• You build, not just consume: you have experience creating AI tools and integrations, not only using ready-made ones.
• Language-agnostic: you work confidently across several languages (PHP / Go / TypeScript / Python) and pick the right tool for the task; a new language or stack is not a barrier.
• Product thinking: you see where AI adds real value and where it doesn't; pragmatic about adoption.
• English - at least B2 (Upper-Intermediate): you read documentation fluently, communicate, and explain your work.

Nice to have

• Hands-on experience building agents and workflows: LangGraph (TS)- current stack, or other agentic frameworks.
• Low-code / automation pipelines (n8n, etc.).
• RAG, vector search, working with the company's knowledge and data.
• Evals, observability, and guardrails for LLM systems in production.
• Backend experience in the company's stack (PHP / Laravel / Symfony, Go, ts) for deeper integrations.

What we offer

• 8-hour working day
• Flexible schedule - within the team's overlap window you decide when to start and finish
• 20 paid vacation days per year
• 5 paid sick days per year
• National holidays off

Conditions

• Format: fully remote
• Employment: full-time
• Time zone: CET (Central European Time) or Europe/Kyiv
• Hiring process: CV → technical interview → short test task (optional) → final interview
• Probation: 2 months