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kyivstar

Posted 1 month ago

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AI Product Engineer

AllRemoteFull-time

AI Summary

An AI Product Engineer gathers business requirements and translates them into technical specs, designs and orchestrates AI agents, builds and deploys MVPs end-to-end, and owns the full product lifecycle to deliver measurable business value.

About this role

We’re looking for an AI Product Engineer to combine product thinking, technical expertise, and AI tools to build solutions that create real business value.
About us
Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City. We are a subsidiary of Kyivstar, one of Ukraine's largest telecom operators.
Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users' needs.
Over 600+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.
We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.

What you will do

  • Gather and clarify business requirements directly with stakeholders, challenge assumptions, and define success metrics.
  • Translate requirements into clear technical specifications, user stories, data models, and acceptance criteria.
  • Design and drive AI agents through prompting, tool/function calling, orchestration, and evaluation to accelerate prototyping and delivery.
  • Build MVPs end-to-end, including frontend, backend, APIs, and data, and iterate quickly based on feedback.
  • Deploy, monitor, and maintain solutions in production, including CI/CD, observability, and cost/performance optimization.
  • Own the full product lifecycle — from an initial idea to a shipped, reliable solution with measurable business value.

    • Qualifications and experience needed

    • Proven full-stack development experience, e.g. Python/Node.js for backend and React or a similar frontend framework.
    • Hands-on experience building with LLMs and AI agent frameworks such as LangChain, LangGraph, CrewAI, OpenAI/Anthropic SDKs, or equivalent.
    • Practical experience with prompt design, RAG, and tool/function integration.
    • Ability to independently elicit business requirements and translate them into technical specifications.
    • Experience delivering MVPs under tight timelines with a strong ownership mindset.
    • Experience with cloud platforms (AWS/GCP/Azure), Docker, and CI/CD pipelines.
    • Experience with API design and integration (REST/GraphQL), as well as relational and/or vector databases.
    • Strong English communication skills and the ability to work effectively with both technical and non-technical stakeholders.

    A plus would be

  • Experience with AI agent evaluation and observability tools, as well as guardrails.
  • Knowledge of MLOps/LLMOps practices and prompt versioning.
  • Familiarity with data privacy and security requirements, including GDPR and similar standards.
  • Experience in telecom or large-enterprise product environments.
  • Experience taking AI-powered products from an initial business idea through to a production-ready solution.

    • What you will do

  • Work in a cross-functional team with analysts, developers & designers to deliver product features.
  • Identifying options for potential solutions and assessing them for technical and business suitability.
  • Working closely with the Product Manager, Development team, IT, external stakeholders, and end-users to ensure technical compatibility and user satisfaction.
  • Analyze requirements, and define use cases and functional requirements for the software.
  • Creates and updates functional & technical descriptions of business processes related to supporting, configuration, and maintenance of the solution.
  • Perform requirements management, prioritization, traceability, verification, and validation of the requirements.
  • Backlog management and facilitation if needed.
  • Oversees test implementation, gathers feedback from users, and proposes functional improvements.
  • Selection and implementation of the necessary tools, technologies, and techniques.

    • Skills

    AnthropicAWSAzureCI/CDCrewAIDockerGCPGraphQLLangChainLangGraphLLMNode.jsNoSQLOpenAIPythonRAGReactREST APISQLVector Databases

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