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Kiss My Apps

Head of AI

Kiss My Apps

. Design and build KMA’s internal AI operating system (AI OS) .

Posted 9/29/2026full-timeRemote • UkraineLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and launching AI/LLM systems, with a focus on production architecture, evaluation methodologies, and AI security. Proven ability to lead technical teams and influence stakeholders while driving automation and cost efficiency.

Highest-signal resume keywords
AI/LLM Systems DevelopmentProduction LLM ArchitectureAI Security KnowledgeTechnical Team ManagementExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Operating System DesignProduction LLM ArchitectureModel Gateway/Router DevelopmentEvaluation and Monitoring SystemsDrift DetectionData Pipeline UnderstandingCost Efficiency AnalysisBusiness Metrics DefinitionError AnalysisAutomation Impact Measurement
Soft Skills
Influence Without AuthorityStakeholder ManagementStrong Business Judgment
Tools & Technologies
LLM ProvidersData Quality ToolsAI Governance FrameworksHuman-in-the-Loop Controls
Industry Keywords
AI SecurityEU AI ActGDPRUnit EconomicsModel Routing

About the role

Key responsibilities & impact
  • Design and build KMA’s internal AI operating system (AI OS)
  • Develop production LLM architecture with model gateway/router, fallbacks, caching, cost caps, agent orchestration, and skill/agent registry
  • Develop the existing MCP Gateway and address its current gaps
  • Build offline and online evaluation and monitoring systems for AI solutions
  • Implement LLM-as-judge with calibration, pairwise comparison, judge-bias checks, failure taxonomies, drift detection, and degradation alerts
  • Configure LLM call tracing for tokens, latency, cache hits, and routing decisions, linking them to hallucination rate, groundedness, and task success
  • Build AI security protections including guardrails, tiered permissions, dangerous-access combination blocking, PII handling, secrets protection, and human-in-the-loop controls
  • Automate Ops, HR, and Finance processes with AI in partnership with the VP of Engineering
  • Increase the share of tasks AI can perform without developer involvement
  • Make model-routing and build-vs-buy-vs-fine-tune decisions based on cost and quality
  • Create methodology for measuring ROMI and LTV through holdout design, impact ledger, and baselines
  • Build and develop the AI Integration team
  • Participate in the hiring process through recruiter, technical, CTO, and final interviews

Requirements

What you’ll need
  • Experience building and launching AI/LLM systems in production, from problem framing through launch and impact measurement
  • Production LLM architecture experience: gateway/router, fallbacks, caching, rate limiting, observability, RAG, agents, and deployment patterns
  • Experience with multiple LLM providers and understanding trade-offs between API, managed inference, and self-hosted solutions
  • Experience building offline/online evaluations, LLM-as-judge, error analysis, failure taxonomies, and drift detection
  • Understanding of data pipelines, PII, data quality, and lineage
  • AI security knowledge: prompt injection, jailbreaks, data exfiltration, permissions, secrets, and human-in-the-loop
  • Understanding of AI governance, EU AI Act, and GDPR
  • Unit economics mindset: token costs, cost efficiency, and automation impact
  • Knowledge of build-vs-buy-vs-fine-tune and model routing by cost/quality
  • Experience defining business metrics, baselines, and measuring impact/ROMI
  • Hands-on approach and readiness to perform technical tasks independently until they can be delegated effectively
  • Influence without authority and stakeholder management outside direct reporting lines
  • Strong executive communication, business judgment, and data-driven approach
  • Experience building a small technical team
  • 2–3+ years of hands-on AI/LLM production experience
  • At least 1 year of technical team management experience

Benefits

Comp & perks
  • Fully remote from any point in the free world, with optional access to offices in Kyiv and Warsaw
  • Equipment provided regardless of work format and geography
  • Career growth opportunities
  • Online yoga classes twice per week
  • English speaking clubs with a native speaker
  • Opportunities to speak at internal and external Kiss My Apps events
  • Annual budget covering up to 50% of professional conferences, educational events, and events
  • Fixed annual benefits budget allowing choice of 50% coverage for medical insurance, psychotherapy, sports, or dental care
  • 40 days of paid vacation and sick leave without date restrictions
  • Support for uninterrupted work during wartime
  • Systematic support for the Defense Forces of Ukraine and participation in Ukraine recovery initiatives
  • Option for military reservation after the probationary period, subject to properly completed military registration documents and company capabilities under applicable law