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United Tech
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Data Science

AI Engineer

PythonLlm ApisClaudeSwaggerAws BedrockRag SystemsChunkingEmbeddingsHybrid SearchRe-RankingGroundingPrompt EngineeringPromptfooRagasLangsmithAgentic PatternsPgvectorPineconeN8NAirflowAWSIAMAWS LambdaAWS S3CloudtrailCi/CdGitLabGitHubSql
Формат
Hybrid
Зайнятість
Локація
Kyiv
Оплата
Не вказана

Про позицію

United Tech is a global IT product company shaping the future of real-time social connection. They're looking for an AI Engineer to build production-grade AI systems and help build their AI platform from scratch, engaging with a modern AI stack.

Обовʼязки

  • 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.

Вимоги

  • 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.

Переваги

  • 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
  • Performance-oriented reviews and Individual Development Plans (IDPs)
  • Reimbursement for professional courses and English classes
  • Corporate library, book club, and knowledge-sharing events
AI Engineer