Senior Software Engineer, Full-Stack
We are looking for a Senior Full-Stack Software Engineer to join a fast-growing technology company developing AI-powered solutions for enterprise clients.
In this role, you will work across the entire stack, building high-performance front-end experiences and scalable back-end systems that support real-time, AI-driven workflows.
You’ll collaborate with engineers, AI/ML specialists, and product teams to develop reliable, production-ready solutions and intuitive interfaces for AI-powered applications.
Responsibilities
Design and build full-stack applications that power AI-driven workflows for enterprise users.
Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
Build scalable backend services supporting real-time AI interactions, knowledge retrieval, and automation.
Optimize AI-powered UIs to provide seamless and intuitive user experiences.
Collaborate with AI/ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.
Build robust, efficient solutions with minimal dependencies.
Continuously improve AI-driven products while balancing user needs and technical feasibility.
Requirements
8+ years of hands-on experience building full-stack production applications.
Strong proficiency in React, TypeScript, and Node.js.
Experience with backend development using Python.
Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.
Ability to solve complex technical problems and work effectively in a fast-paced, high-autonomy environment.
Strong collaboration skills and experience working with cross-functional engineering, product, design, and AI/ML teams.
Additional Details:
Long-term opportunity: This is a stable, long-term project with the opportunity to become a key part of the customer’s engineering team and contribute to the product over an extended period.
Working hours: During the first 3 months of onboarding, availability until 9:00 PM Kyiv time is required. After onboarding, late calls may occasionally be required if needed; otherwise, you can work according to your preferred schedule.
Education: A completed higher education degree in Computer Science or a closely related technical field is required.
Full-time commitment: This is a 100% dedicated, full-time engagement with the customer’s team. Parallel commercial projects or other full-time engagements are not compatible with this role.
Fast hiring process: The interview process is designed to move quickly, with the possibility of a fast start for the successful candidate.
Nice to Have
Experience building AI-powered applications with LLM integrations.
Experience working in fast-paced startup or enterprise technology environments.
Strong understanding of UI/UX and experience building intuitive interfaces.
Experience with GraphQL, WebSockets, or real-time data streaming.
Contributions to open-source projects or experience building developer tools for AI.