Senior Software Engineer, Full-Stack

Job description

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.

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.