Frontend Developer

Full Stack AI Engineer
Company: Syce
Location: Remote / Hybrid
Employment: Full-time
About the Role
Syce is looking for a Full Stack AI Engineer to join our engineering team and help build modern AI-powered software products.
We're looking for an engineer who is comfortable working across frontend, backend and applied AI. You'll take features from concept through implementation and production, working closely with the product and engineering team in a fast-moving startup environment.
What You'll Do
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
Core Skills
Full Stack Engineering
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/tool calling
AI agents and workflow orchestration
RAG
Embeddings and vector search
Context management
AI evaluation, monitoring and debugging
Good to Have
Experience with any of the following would be valuable:
Python
AWS or Azure
Docker
Redis
PostgreSQL
Vector databases
MCP (Model Context Protocol)
LangGraph or similar frameworks
WebSockets / real-time applications
Data pipelines
Recommendation systems
Multi-agent systems
AI security and guardrails
SaaS application development
What We're Looking For
We're looking for someone who:
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
Why Join Syce?
You'll join an early-stage technology company where you'll have the opportunity to work on modern AI engineering problems and have meaningful influence over technical decisions.
You'll work directly with the founding team, build production software from an early stage, and have significant scope to experiment with emerging AI technologies.

Work arrangement
No