onsite
Field AI Engineer
AI Engineer
Field AI Engineer to gather intelligence on emerging AI tools and trends, evaluate new technologies, and bridge external ecosystems with internal product strategy.
About the role
Key Responsibilities
- Attend and engage in AI meetups, research demos, hackathons, and conferences across the San Francisco Bay Area to gather field intelligence
- Build and maintain a structured view of the AI vendor and startup landscape, identifying emerging tools, enterprise-ready solutions, and overhyped trends
- Run a regular intelligence loop: weekly signal briefs, monthly deep-dives for leadership, and ad hoc alerts on critical developments
- Evaluate new AI tools, APIs, and agentic frameworks through hands-on prototyping and technical assessments
- Engage credibly in deep technical conversations about LLMs, RAG architectures, agentic systems, fine-tuning, and enterprise AI infrastructure
- Act as the connective tissue between external AI ecosystems and internal teams, amplifying insights to shape product strategy and roadmap
Requirements
- Technical depth in AI/ML with hands-on experience building real systems using LLMs, RAG, or agentic frameworks
- Strong ability to synthesize noisy information into actionable intelligence and distill complex technical concepts
- Proven track record of building authentic relationships with researchers, engineers, and practitioners in the AI community
- Experience attending and contributing to AI events, meetups, or hackathons in the San Francisco Bay Area
- Excellent communication skills to present findings internally and occasionally externally
Skills
ai researchmachine learningllm architecturesrag systemsprompt engineeringenterprise ai infrastructure