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AI Product Engineer

1 month, 1 week ago
Anywhere
Full-time
Senior
Full-stack Engineer
Software Development
AWS Azure CI/CD Cybersecurity Docker GraphQL MLOps Node.js Python React REST API
Apply Now
Kyivstar

Kyivstar

Kyivstar is the leading national operator in Ukraine, providing quality mobile communication to over 26 million subscribers. As a driver of innovation and social responsibility, Kyivstar is part of the international VEON group, focusing on projects for...

Wireless Telecommunication Services
1K-5K
Founded 1994
$1600M raised
View All Jobs 22

Description

  • Gather and clarify business requirements, challenge assumptions, and define success metrics.
  • Translate requirements into technical specifications, user stories, data models, use cases, and acceptance criteria.
  • Design and orchestrate AI agents using prompting, tool/function calling, and evaluation methods.
  • Build and iterate end-to-end MVPs across frontend, backend, APIs, and data layers.
  • Deploy, monitor, maintain, and optimize production solutions, including CI/CD, observability, cost, and performance.
  • Own products from initial concept through delivery of reliable solutions with measurable business value.
  • Collaborate with analysts, developers, designers, product managers, IT teams, external stakeholders, and end users.
  • Manage, prioritize, validate, verify, and maintain traceability of requirements and backlogs.
  • Oversee testing, gather user feedback, and propose functional improvements.
  • Select and implement appropriate tools, technologies, and techniques.

Requirements

  • Proven full-stack development experience with Python or Node.js and React or a similar frontend framework.
  • Hands-on experience building with LLMs and AI agent frameworks such as LangChain, LangGraph, CrewAI, OpenAI SDKs, Anthropic SDKs, or equivalents.
  • 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 strong ownership.
  • Experience with AWS, GCP, or Azure, Docker, and CI/CD pipelines.
  • Experience designing and integrating REST or GraphQL APIs and working with relational and/or vector databases.
  • Strong English communication skills with technical and non-technical stakeholders.
  • Experience with AI-agent evaluation, observability, and guardrail tools (preferred).
  • Knowledge of MLOps/LLMOps, prompt versioning, data privacy/security requirements, or GDPR; telecom or large-enterprise experience is a plus.

Interested in this position?

Apply directly on the company website

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