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Location
Remote (Ukraine)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
United Tech AI is a technology company specializing in artificial intelligence solutions, enterprise software development, and digital transformation services. The organization focuses on leveraging machine learning, cloud infrastructure, and advanced automation to help businesses streamline operations and drive innovation. By delivering tailored AI-driven platforms, it enables clients across various industries to make data-driven decisions and enhance their competitive edge.

About the company: 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 an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI. You’ll own initiatives end-to-end - from discovery and architecture decisions to production delivery - and play a key role in shaping how AI is used across the company.

You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.

In this role, you will

    • Design and build RAG and automation workflows inside our VPC environment.

    • Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).

    • Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.

    • Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.

    • Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.

    • Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.

    • Own initiatives end-to-end: scope → design → ship → measure → iterate.

It’s all about you

    • 5+ years of production experience with Python (services, async, API integrations, clean and testable code).

    • Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.

    • Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.

    • Prompt engineering + structured outputs + tool/function calling.

    • Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.

    • Agentic patterns: ReAct, function-calling loops, fallbacks.

    • Vector databases: pgvector, Pinecone.

    • Workflow orchestration: n8n, Airflow, or custom orchestration systems.

    • Observability: token-spend tracing, latency monitoring, model routing.

    • Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail - comfortable deploying inside VPC environments independently.

    • CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.

    • Basic SQL skills for analytical queries and metrics dashboards.

    • Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production

    • B2 English level

    • Would be a plus

      • Real REST integrations with 2-3+ APIs

      • Experience with workflow orchestration tools.

      • Prompt evaluation tooling such as LangSmith is nice to have

      • Experience with Docker

      • RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases

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
  • Comfortable working environment:
  • Work from our Kyiv hub or remotely with a flexible schedule
  • Modern equipment or depreciation of your own tools
  • Investment in your future:
  • 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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