Frontend Developer

Syce is looking for a Full Stack AI Engineer to join its engineering team and help build modern AI-powered software products.

The role involves working across frontend, backend, and applied AI, taking features from concept through implementation and production in a fast-moving startup environment.

Responsibilities

• Develop responsive web applications using React, Next.js, and TypeScript
• Build backend services and REST APIs using Node.js
• Design and maintain database models and application services
• Build and integrate AI and LLM-powered application features
• Work with LLM APIs, structured outputs, and tool or function calling
• Develop AI agents and automated workflows
• Implement RAG, embeddings, and semantic retrieval where appropriate
• Integrate third-party APIs and external services
• Build secure authentication and authorization flows
• Develop asynchronous and background processing
• Improve application performance, reliability, and scalability
• Implement testing, logging, monitoring, and AI observability
• Deploy and maintain applications in cloud environments
• Participate in architecture and technical design discussions
• Prototype new technologies and turn successful experiments into production-quality features
• Work collaboratively through Git-based development, code reviews, and CI/CD

The role offers the opportunity to work directly with the founding team, build production software from an early stage, and experiment with emerging AI technologies.

Core Skills

• JavaScript / TypeScript
• React
• Next.js
• Node.js
• REST APIs
• MongoDB or similar databases
• HTML/CSS and responsive UI development
• Git and GitHub
• Cloud deployment

AI Engineering

• Experience integrating LLMs into applications
• Prompt engineering
• Structured LLM outputs
• Function or tool calling
• AI agents and workflow orchestration
• RAG
• Embeddings and vector search
• Context management
• AI evaluation, monitoring, and debugging

Good to Have

What We're Looking For

• Ability to independently take a feature from requirement to production
• Understanding of both software engineering and practical AI implementation
• Ability to work across frontend and backend
• Ability to experiment quickly while writing maintainable production code
• Understanding of reliable AI application development beyond simply calling an LLM API
• Comfort working in an early-stage environment where requirements evolve quickly
• Clear communication of technical decisions
• Strong ownership of problems and outcomes