> Markdown version of [/jobs/ext/1881474-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1881474-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Walden Robotics Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Systems Engineering, Computer Programming, Information Engineering, Cursor (Graphical User Interface Elements), Python (Programming Language), Open Source Technology, BIG-IP Global Traffic Manager (GTM), Software Engineering, Scripting, Large Language Models, Data Strategy, Software Coding, Api Management - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-san-francisco-ca--e26e744b-2ea5-4e10-b8bb-a3f5d10ef356 ## About the Role * 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. Preferred Qualifications: * 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., Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, CRM Integration, Competitive Analysis/Strategy, Computer Programming, Consulting, Corporate Planning, Cross-Functional, Customer Relationship Management (CRM), Due Diligence, Financial Strategy, Fundraising, Market Segmentation, Open Source, Performance Metrics, Product Engineering, Prototyping, Python Programming/Scripting Language, Reporting Dashboards, Research Laboratory, Robotics, Software Engineering, Strategic Planning, Systems Engineering, Technical Strategy, Venture Capital ## Description 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. Core Responsibilities: * CSO direct collaboration: 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. * CSO vertical agents (~80%): 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. * Internal agent platform (~20%): 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. * Cross-functional integration: 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. ## Related Videos - [JavaScript? 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