8 дней назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Python/LLM): Building an AI-native enterprise work operating system that combines an enterprise registry, connected knowledge graph, and multi-agent workforce with an accent on agentic workflows, LLM applications, and intelligent enterprise integrations. Focus on designing AI-powered capabilities, orchestrating multi-agent systems, integrating knowledge systems, and making architectural decisions for a scalable AI-native product.
Location: Ukraine
Company
is an international engineering firm with more than 6,000 experts, delivering AI-focused engineering solutions across industries and markets.
What you will do
- Build AI-powered capabilities for an enterprise work operating system.
- Design and implement agentic workflows using LLMs, AI agents, and multi-agent orchestration.
- Develop knowledge systems using knowledge graphs, vector databases, and other representation approaches.
- Integrate enterprise tools such as Jira and Confluence into a shared source of truth.
- Define architecture and make technical decisions for a new AI-native product.
- Contribute to AI-driven software delivery across requirements, design, development, testing, deployment, and operations.
Requirements
- Strong commercial experience with Python and backend development.
- Hands-on experience building LLM-powered applications and AI agents.
- Strong understanding of agentic AI, multi-agent systems, agent orchestration, LLM APIs, prompt engineering, context management, tool calling, and RAG.
- Experience with knowledge graphs, vector databases, APIs, integrations, data processing, and distributed systems.
- Experience with cloud platforms and modern software engineering practices.
- Ability to work independently, make architectural decisions, and own solutions.
Nice to have
- Experience with MCP, LangGraph, LangChain, Semantic Kernel, or similar agent frameworks.
- Experience integrating Jira, Confluence, Microsoft Teams, or SharePoint.
- Experience with graph databases such as Neo4j.
- Experience with LLM evaluation, observability, AI reliability, enterprise SaaS, or workflow automation platforms.
Culture & Benefits
- Equal-opportunity and respectful working environment.
- Collaboration with engineering, architecture, security, product, and leadership teams.
- Opportunity to shape AI-native engineering standards and a new product foundation.
Hiring process
- Submit a CV and discuss goals and experience during a talent call.
- Complete a technical interview focused on experience, strengths, and approach to work.
- Some roles include a customer interview before the offer.
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