AI Engineer

• BS or higher from a top-tier academic institution in Machine Learning, AI, Computer Science, Mathematics, Statistics, or a related field
• Strong software engineering fundamentals
• Expert-level Python development experience
• Experience building and deploying AI applications in production
• Hands-on work with agents, LangGraph, LangChain, MCP, RAG, or similar frameworks
• Experience partnering with stakeholders to solve business problems through technology
• Ability to operate independently and take ownership of projects from idea to delivery
• Excellent communication skills

Ideal Backgrounds:

• AI startups, fronier AI labs, or top AI tech xrbllit teams
• Developer productivity platforms
• Internal tooling organizations
• AI platform and infrastructure teams
• Enterprise AI product teams
• Applied AI and automation-focused engineering groups

This is an opportunity to join a small, high-impact team where you’ll have significant ownership over both technical direction and product outcomes while working on some of the most interesting AI challenges in industry.

We’re partnered with a leading quantitative investment and technology firm that is building out a new generation of AI-powered tooling and looking to hire an AI Engineer to help drive the initiative.

This is a highly hands-on role focused on identifying real business problems and building AI-driven solutions that improve how engineers, researchers, and domain experts work. Rather than conducting pure AI research, you’ll design and deploy production-grade systems that leverage modern LLMs, agents, and workflow automation to create measurable impact.

What You’ll Work On:

• Agentic AI systems and multi-agent workflows
• Internal copilots and knowledge assistants
• Workflow automation and AI-powered productivity tools
• RAG applications and retrieval systems
• LLM integrations and business-facing AI solutions
• Developer tooling and internal platforms
• End-to-end AI product development from concept to production