AI Engineer

Walden Robotics•San Francisco, CA

28d•$157,500 - $210,000•Hybrid

About The Position

We're looking for an exceptional AI Engineer to be a force multiplier for the Strategy org and a major contributor to Walden’s internal agent platform. This is a hybrid role for an AI-native operator who builds modern agentic systems with extreme ownership and equal comfort across the technical and the commercial. You'll split your time roughly 80% on strategy-org workflows (deal sourcing and qualification, GTM automation and CRM Ops, market intelligence, due diligence, context management) and 20% on the shared internal agent infrastructure, working alongside our systems engineers to make every Walden operator agent-augmented. You'll close the feedback loop on agents you own, design self-improvement loops, and make your work reusable across the company.

Requirements

CS or Engineering undergraduate degree.
Track record owning ambitious AI-native projects end-to-end at a frontier startup or research lab, with the ability to operate without close supervision under uncertainty.
Demonstrated expertise building production agentic workflows with modern AI tools (Claude Code, Codex, Cursor, OpenAI / Anthropic Agents SDK, open source tools).
Experience in Python, data engineering, API integrations, and workflow automation.
Experience with LLM evals, observability, and optimization (Langfuse, Weights & Biases).
Comfortable context-switching between technical implementation and strategic thinking, and between writing code and writing prompts.

Nice To Haves

Domain knowledge in robotics, autonomous vehicles, enterprise AI, or similar markets.
Track record building 0 to 1 analytical tools that drove important business decisions.
Experience in venture capital, corporate development, or strategic consulting.

Responsibilities

Serve as the CSO's thought partner on agentic systems for strategic initiatives, prototype analytical frameworks fast, and execute special projects spanning GTM, partnerships, fundraising, modeling, and customer-data strategy.
Design and ship AI agents and pipelines for market mapping, segmentation, customer discovery, deal-flow management, contract triage, executive comms, market intelligence, and CRM automation. Use a stack combining Anthropic, OpenAI, custom LLM pipelines, internal and external data sources, and modern CRM integrations. Build the single source of truth that powers strategic KPIs and executive decisions.
Co-develop the shared infrastructure that lets other Walden teams build and run their own agents safely and observably. Ship reusable patterns and primitives the rest of the company adopts.
Bridge strategy, finance, product, engineering, and operations through direct collaboration, real-time dashboards, scenario planning, and workflow automation. Translate technical reality into commercial framing and back.