The Opportunity
Most companies are experimenting with AI. We’re operationalizing it.
We’re hiring an AI Engineer to design and deploy real, production-grade AI systems that transform how a firm works—automating complex workflows, augmenting decision-making, and embedding intelligence into core business processes.
This isn’t a research role. It’s not a sandbox.
You’ll be shipping AI that people rely on every day.

What You’ll Actually Do

Build and deploy AI-powered tools that drive immediate, measurable impact
Design agentic workflows and autonomous systems—not just prompts, but end-to-end solutions
Integrate LLMs directly into critical business platforms and data systems
Own the full lifecycle: prototype → production → scale
Set the standard for prompt engineering, context design, and AI evaluation
Make real calls on tools and architecture—what to build vs. what to buy
Partner directly with business leaders to turn AI capabilities into competitive advantage

What You Bring

Strong engineering background (Python + JavaScript/TypeScript)
Experience building with LLMs (OpenAI, Claude, Gemini, etc.)
You’ve actually shipped AI features—not just experimented
Comfortable working across APIs, integrations, and modern architectures
You move fast, think pragmatically, and care about real-world impact

Bonus Points If You’ve Worked With

Agentic systems, RAG pipelines, MCP, or vector databases
AI copilots, coding agents, or automation frameworks
Enterprise AI platforms (Azure AI, etc.)
Regulated environments where security and data handling matter

Why This Role Stands Out

Zero fluff — you’re building things that get used
High visibility — your work directly impacts how the firm operates
Real ownership — tools, architecture, direction
Serious runway — AI is a priority, not a side project

If you’re tired of talking about AI and want to actually build something that matters, this is that role.