AI Engineer

The Role

You're an experienced engineer who ships production AI features with confidence. You understand how to integrate LLM APIs and AI services into robust applications, architect scalable AI-powered systems, and deliver high-impact features that clients depend on.

What You'll Do

• Design and implement end-to-end AI integrations: from LLM API selection to production deployment
• Architect AI-powered features that work reliably at scale
• Work independently on complex projects with minimal oversight
• Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems
• Integrate cloud AI services and build custom AI tooling when needed
• Ship production-grade code that balances quality and velocity
• Collaborate with designers, product managers, and other engineers
• Contribute to technical decisions and architectural discussions
• Mentor junior engineers when needed

What We're Looking for

• Production Expertise: Proven ability to ship production AI features end-to-end
• LLM Mastery: Deep hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and frameworks like LangChain
• Full-Stack Skills: Strong development across frontend (React/modern frameworks), backend (Python, Node.js,.NET), and infrastructure
• System Design: Can architect AI integrations that scale, handle errors gracefully, and provide good user experiences
• AI Tooling: Comfortable with vector databases, prompt engineering, embedding models, and emerging AI tools
• Quality Focus: You care about code quality, testing, and building systems that users can rely on
• Initiative: You identify problems, propose solutions, and drive projects to completion

Required Experience

• 2-5 years of professional software engineering experience
• Demonstrated production AI experience (LLM integrations, AI-powered features)
• Advanced full-stack development skills
• Experience with modern cloud platforms (AWS, GCP, or Azure)
• Strong backend and infrastructure development skills applied to real production systems
• Proven ability to ship complex features independently

Nice to Have

• Experience with RAG (Retrieval-Augmented Generation) systems
• Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.)
• Experience contributing to frontend features using modern frameworks when needed
• Background with API design and system integration
• Understanding of prompt engineering best practices
• Experience with deployment and DevOps practices
• Exposure to agentic AI systems

In your role, you'll

• Ship production AI features with minimal guidance
• Own the technical direction of AI integrations on your projects
• Become the go-to expert on AI architecture and tooling
• Help raise the bar for how the team approaches AI engineering
• Build a track record of high-impact, reliable AI systems
• Grow as a leader by mentoring other engineers