
AI Product Engineer
Kyivstar
🌏 Worldwide
Remote
4 weeks ago
- AI
- CI/CD
- Python
- Node.js
- React.js
- LangChain
- LangGraph
- CrewAI
- OpenAI
- RAG
- AWS
- GCP
- Azure
- Docker
- GraphQL
- MLOps
- GDPR
4 weeks ago
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 we offer
- Office or remote — it's up to you.
- Remote onboarding.
- Performance bonuses for everyone (annual or quarterly — depends on the role).
- We train employees: the opportunity to learn through the company’s own library, internal resources and programs from partners.
- Health and life insurance.
- Wellbeing program and corporate psychologist.
- Reimbursement of expenses for Kyivstar mobile communication.
AI Product Engineer · Kyivstar