Frontend Developer

Role Overview

Syce is looking for a Full Stack AI Engineer to join our engineering team and help build modern AI-powered software products. You'll take features from concept through implementation and production, working closely with the product and engineering team 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/LLM-powered application features
• Work with LLM APIs, structured outputs and tool/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

Requirements

• Can independently take a feature from requirement to production
• Understands both software engineering and practical AI implementation
• Can work across frontend and backend rather than being restricted to one layer
• Experiments quickly but writes maintainable production code
• Understands that building reliable AI applications requires more than simply calling an LLM API
• Is comfortable working in an early-stage environment where requirements evolve quickly
• Communicates technical decisions clearly
• Takes ownership of problems and outcomes

Nice to Have

• Python
• AWS or Azure
• Docker
• Redis
• PostgreSQL
• Vector databases
• MCP (Model Context Protocol)
• LangGraph
• WebSockets
• Data pipelines
• Recommendation systems
• Multi-agent systems
• AI security and guardrails
• SaaS application development