AI Product Engineer
我们正在寻找一个 AI 产品工程师,将产品思维,技术专业知识和人工智能工具结合起来,以构建创造真正的商业价值的解决方案。关于我们 Kyivstar.Tech 是一家乌克兰混合 IT 公司,也是 Diia.City 的居民。我们是乌克兰最大的电信运营商之一 Kyivstar 的子公司。我们的使命是通过创建释放企业潜力并满足用户需求的技术解决方案和产品来改变乌克兰和世界各地的生活。超过600+ KS.Tech 专家每天工作在各种领域:移动和网络解决方案以及设计,开发,支持和技术维护高性能系统和服务。我们相信真正带来质量变化并不断挑战传统方法和解决方案的创新。我们每个人都坚持创业文化,这使得我们永远不停下来,进步,创造新的东西。你会做什么 · 直接与利益相关者收集和澄清商业需求,挑战假设,定义成功指标。· 将要求转换为明确的技术规格,用户故事,数据模型和接受标准。·通过提示,工具/功能调用,配套和评估设计和驱动人工智能代理人以加速原型制作和交付。· 构建端到端 MVP,包括前端,后端,API 和数据,并根据反快速进行回复。· 在生产中部署,监控和维护解决方案,包括 CI/CD,可观察性和成本/性能优化。·拥有整个产品生命周期从最初的想法到出货,可靠的解决方案具有可测量的业务价值。需要资格和经验。• 证明完整的开发经验,例如 Python/Node.js 用于后端和 React 或类似的前端框架。· 使用 LLMs 和 AI 代理框架 (如 LangChain, LangGraph, CrewAI,Open/Anthropic SDKs)或相等实践体验建设。· 具有快速设计,RAG 和工具/功能集成的实践经验。·能够独立地实现业务需求并将其转化为技术规范。·有强大的所有权思维能力,在紧密的时间表下提供 MVP 的经验。•与云平台 (AWS/GCP/Azure),Docker 和 CI/CD 管道的经验;· API 设计和集成 (REST/GraphQL) 的经验以及关系性和/或矢量数据库。·强大英语沟通技能。
查看英文原文
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.
Originally posted on Himalayas