We’re hiring an AI Engineer to build product features powered by modern AI models. You’ll work across our Next.js/React frontend and Go backend services to ship AI-enabled capabilities that are reliable, measurable, and valuable to the business. This role is ideal for a developer who can ship end-to-end features and is excited to leverage AI tools in their daily workflow (for research, prototyping, testing, and coding) while maintaining strong engineering quality. We do not expect you to be a machine learning researcher; we expect you to be a curious, pragmatic engineer who is excited to build customer-facing features. What You’ll Need to Be Successful As an AI Engineer, you will be a force multiplier for our product capabilities. In this role, you will: 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: B uild 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. We are looking for a developer who balances a builder’s mindset with engineering rigor.
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Job Type
Full-time
Career Level
Mid Level