We are looking for a software engineer with a strong development background who actively builds real-world systems using AI as a core building block. This is not a Data Science role. We are looking for a hands-on engineer who goes beyond prompt engineering and can design, assemble, and deliver production-ready AI systems using modern LLM capabilities.
✅ Requirements
● Commercial software development experience (Middle / Middle+ level); ● Hands-on experience building real-world solutions with LLMs; ● Proven experience building AI-driven systems (agents, automations, integrations).
Strong understanding of: ● RAG (Retrieval-Augmented Generation); ● Agentic approaches and workflows; ● Modern AI development patterns; ● System design and architectural patterns for AI-powered applications.
Technical capabilities: ● Experience with AI tools/frameworks; ● Ability to independently design and build working systems from multiple components; ● Comfortable working across different programming languages and tech stacks (language-agnostic mindset); ● Ability to validate, test, and challenge LLM outputs with strong critical thinking.
Буде плюсом
● Experience designing or implementing MCP or similar tool integration protocols; ● Experience building custom tools or extending agent capabilities; ● Experience deploying AI systems or agents into production environments.
Пропонуємо
● Work in a team of smart and talented people; ● Be a part of a fast-growing product company; ● Comfortable office in the city center or hybrid remote type of work; ● Flexible work schedule; ● Free English classes; ● Computer devices.
Обов’язки
● Design and develop AI-powered systems using LLMs as core components; ● Build and customize AI agents and agent-based workflows; ● Work with RAG-based systems and knowledge-driven architectures; ● Design and implement integrations (including MCP or similar tool-use protocols); ● Compose complex systems from modular, loosely coupled components ● Rapidly prototype and iterate on AI solutions; ● Build reusable frameworks and scalable architectures powered by AI; ● Collaborate with the engineering team to deliver production-ready solutions;
What we value ● Ability to use AI not just as a tool, but as a foundation for building systems; ● Engineering mindset: focus on architecture, scalability, and reliability; ● Strong problem-solving skills and ownership; ● Pragmatic approach: ability to move from idea to working system quickly.
Про проєкт
VisiQuate is a product company building AI-powered analytics and workflow automation solutions for the healthcare domain.
The platform integrates large volumes of fragmented healthcare data, transforms it into actionable insights, and enables intelligent workflows that improve financial performance and operational efficiency.
This role focuses on building real-world AI systems — not experiments — using LLMs as a core part of the architecture.
