Ship AI-Native Features: Design and implement full-stack features using LLMs (OpenAI, Anthropic, Gemini) and build "Generative UI" elements where AI renders interactive components.
Architect the AI Ecosystem: Build and maintain Model Context Protocol (MCP) servers to expose internal databases and business logic as tools for LLMs, ensuring models have the right context to perform tasks.
Optimize Performance: Use Google’s Agent Development Kit and streaming interfaces to deliver low-latency, responsive user experiences.
Scale Backend Orchestration: Write high-performance Go code and use Kafka/Redis to build event-driven architectures that decouple AI agents and manage concurrent execution.
Define the Future of Work: Pioneer an "AI-Enhanced" workflow, using tools like GitHub Copilot to accelerate development while serving as the ultimate gatekeeper for code quality, security, and performance.
Ensure Reliability: Move beyond "vibe checks" by writing automated "Evals" to test AI performance against regressions and iteratively refining system prompts for safe, high-quality outputs.

2+ years of professional experience, specifically with Go (goroutines, channels, and modules) and TypeScript/React (Next.js App Router).
Proven experience integrating LLM APIs and a solid understanding of orchestration concepts (e.g., Vercel AI SDK, LangChain, or custom-built frameworks).
The ability to design RESTful/gRPC APIs and write clean SQL (Postgres) to bridge the gap between AI models and business logic.
Enthusiasm for using AI coding assistants to multiply your output, paired with the critical eye needed to debug and refine AI-generated code.
A deep commitment to Git, CI/CD basics, and comprehensive unit testing to ensure our AI features are production-ready.
Bonus: Experience with React Native/Expo for mobile deployment, or familiarity with Docker/Kubernetes and cloud infrastructure (AWS/GCP).

Employees (and eligible family members) are covered by medical, dental, vision and more.
Employees may enroll in our company’s 401k plan.
Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.
Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

AI Engineer

Key skills