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Open nowPosted 23 hours ago

Head of AI

United Tech31 open roles

Where
Kyiv
Work mode
Remote
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Your applicationOpen nowHead of AIUnited Tech · Kyiv

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on United Tech's own form.

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. United Tech postings stay open a median of 26 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 23 hours ago

United Tech median: 26 days open

The posting

United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide

About your role: We’re looking for a Head of AI who can turn AI adoption into a systematic business advantage — not just introduce new tools, but build solutions that deliver measurable financial impact. At United Tech, you’ll work with complex B2C products reaching millions of users across international markets, identifying where AI can improve product performance, accelerate development, and make our teams more effective. This role combines strong engineering expertise, hands-on experience with production LLM systems, and a business mindset to turn AI opportunities into scalable solutions with proven results.

In this role, you will

  • Define and drive the company's AI strategy, turning business opportunities into a structured roadmap of AI initiatives
  • Identify, evaluate, and prioritize AI use cases across product development and internal business processes
  • Lead the design and implementation of production-ready LLM solutions, including AI agents, multi-agent systems, and generative features
  • Build and scale internal AI tools that improve engineering productivity and are actively adopted by other teams
  • Evaluate the business case for AI initiatives before development, estimating expected impact, development costs, and inference expenses
  • Establish measurement frameworks to assess the actual impact of AI solutions, define baselines, and distinguish real improvements from external factors
  • Introduce engineering standards and best practices for AI development, including architecture, evaluation, security, and reliability
  • Work closely with engineering and product teams to integrate AI into existing workflows, development processes, and products

It’s all about you

  • 5+ years of software development experience (we’re open to considering candidates with less experience if they have strong relevant expertise)
  • 2+ years of hands-on experience building and deploying LLM-based solutions in production, including AI agents, integrations, and generative features
  • Experience developing internal tools and AI solutions actively used by other teams
  • Ability to evaluate the economics of AI initiatives before development, including expected business impact, development costs, and inference costs
  • Experience measuring the actual impact of implemented solutions, defining baselines, choosing measurement methods, and separating results from external factors
  • Solid understanding of the software development lifecycle, including estimation, code reviews, and release management
  • Understanding of product metrics such as conversion, retention, ARPU, and unit economics
  • Upper-Intermediate (B2) English or higher
  • 2+ years of experience in a Tech Lead or Staff Engineer role
  • Experience implementing RAG solutions for codebases or technical documentation

AI skills & tools

  • Experience designing and operating multi-agent systems in production, including orchestration, autonomy boundaries, failure handling, and human-in-the-loop workflows
  • Hands-on experience building custom MCP servers, not just integrating existing ones Advanced Claude Code expertise, including custom skills, commands, subagents, and hooks
  • Strong context engineering skills: understanding what belongs in the context window, what should be handled through RAG, and what should be exposed as a tool
  • Experience with evaluation frameworks, including offline evaluation datasets, LLM-as-a-judge, and detecting model performance degradation after updates
  • Understanding of inference economics and optimization techniques, including caching, batching, model selection, and cost per unit
  • Knowledge of AI security policies and practices, including prompt injection protection, data and secret leakage prevention, and agent permission management
  • Familiarity with DORA and SPACE engineering metrics
  • Claude Certified Architect – Professional (CCAR-P) or Claude Certified Developer – Foundations (CCDV-F) certification

What we offer

  • 20 paid vacation days, 15 sick days, and 6 additional days off for family events
  • Up to 10 additional days off for public holidays
  • 100% medical insurance coverage
  • Sports and equipment reimbursement
  • Team building events, corporate gifts, and stylish merch
  • Financial and legal support
  • Maternity recovery support allowance
  • Position retention and support for those who join the Armed Forces of Ukraine
  • Participation in social initiatives supporting Ukraine
  • Work from our Kyiv hub or remotely with a flexible schedule
  • Modern equipment or depreciation of your own tools
  • Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
  • 70% of our heads and leads have grown into their roles here – so can you!
  • Performance-oriented reviews and Individual Development Plans (IDPs)
  • Reimbursement for professional courses and English classes
  • Corporate library, book club, and knowledge-sharing events

Hiring process

  • Intro call
  • Technical Interview
  • Final Interview
  • Reference check
  • Offer
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