AI Product Engineer

Responsibilities

• Gather and clarify business requirements with stakeholders, define success metrics, and challenge assumptions.
• Translate requirements into technical specifications, user stories, data models, and acceptance criteria.
• Design and drive AI agents through prompting, tool/function calling, orchestration, and evaluation.
• Build MVPs end-to-end, including frontend, backend, APIs, and data, and iterate 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.
• Work in a cross-functional team to deliver product features and assess potential solutions for technical and business suitability.
• Analyze requirements, define use cases, and create functional & technical descriptions of business processes.
• Manage requirements, perform verification and validation, and oversee test implementation.
• Gather user feedback and propose functional improvements, selecting necessary tools and technologies.

Requirements

• Proven full-stack development experience (e.g., Python/Node.js for backend, React for frontend).
• Hands-on experience with LLMs and AI agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI/Anthropic SDKs).
• PRACTICAL experience with prompt design, RAG, and tool/function integration.
• Ability to 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), and relational/vector databases.
• Strong English communication skills for effective collaboration with technical and non-technical stakeholders.
• Additional experience with AI agent evaluation, MLOps/LLMOps practices, data privacy/security (GDPR), and telecom/large-enterprise environments is a plus.

Qualifications

Proven full-stack development experience (e.g., Python/Node.js for backend, React for frontend).

Hands-on experience with LLMs and AI agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI/Anthropic SDKs).

PRACTICAL experience with prompt design, RAG, and tool/function integration.

Ability to 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), and relational/vector databases.

Strong English communication skills for effective collaboration with technical and non-technical stakeholders.

Additional experience with AI agent evaluation, MLOps/LLMOps practices, data privacy/security (GDPR), and telecom/large-enterprise environments is a plus.

Compensation & Benefits

Not provided in the job description.

Company

Kyivstar, a Ukrainian hybrid IT company and a subsidiary of Kyivstar, seeks an AI Product Engineer.

Location

All

Type

Full-time

Workplace

Remote

Category

IT