Note: The job is a remote job and is open to candidates in USA. Shields Group Search is partnering with a fast-growing consumer AI company focused on privacy, free speech, and user sovereignty. The Principal Applied AI Engineer will build and lead the internal agent platform, including infrastructure, orchestration, retrieval, evaluation, privacy controls, and usability features that enable non-engineering teams to create and deploy AI agents. The role will also partner with departments across the company, measure platform impact, and drive adoption through education and demonstrations.
Responsibilities
- Build the internal agent platform
- Design and ship the foundational infrastructure that teams across the company use to create, deploy, and manage their own AI agents. This includes agent templates, shared tool libraries, retrieval systems, orchestration patterns, eval pipelines, and the abstractions that let non-engineers assemble useful agents without writing code
- Decide the build-vs-orchestrate strategy
- Evaluate commercial agent platforms, frameworks, and tools. Where existing solutions work and can run on the company’s inference infrastructure, use them. Where they don’t exist or don’t meet the company’s needs, build from the ground up. You own this decision space
- Dogfood the company’s own platform
- The internal agent platform you build should run on the company’s own inference API and models. The company is its own first customer
- Solve the data privacy problem
- Internal agents must operate without leaking company data to third-party model providers. You’ll architect the platform so that agents run on the company’s own inference, data stays within its infrastructure, and access controls prevent cross-department data leakage
- Make it usable by non-engineers
- Partner with every team to understand their needs
- Work directly with marketing to understand their content and research workflows. Work with support to understand triage and response patterns. Work with operations on workflow automation. Work with finance on data extraction and reporting
- Evaluate, iterate, and prove ROI
- Measure the impact of the platform across the company. Close the loop between production traces, evaluations, and platform design. Optimize for quality, latency, and cost
- Show the company, in concrete terms, how agents built on your platform are multiplying human output
- Evangelize and educate
- Help non-engineering teams understand what’s possible with the platform. Run workshops, write internal docs, and build proof-of-concept demonstrations that make the abstract concrete
Skills
- Fully Remote role, anywhere in the US
- Location: Remote - US based
Benefits
- Company token
- Equity
- Fully remote role, anywhere in the US
Company Overview