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Forward Deployed AI Engineer

$115k - $200k

Jenn Nguyen and Friends

Overview Location: San Francisco, California, United States Forward Deployed AI Engineer (ML / Full Stack) at a seed-stage startup. Compensation: $115K–$200K base (varies by level and interview performance) + equity. Location: San Francisco, CA. Hiring Target: 2. Work Policy: 5 days/week in-office. Sponsorship: TN and OPT visa transfers supported. Stage: Seed-stage startup | $3.1M raised | YC-backed | Exclusive search. What’s in It for You Own high-impact enterprise deployments from day one. Work directly with Fortune 500 customers on real-world AI systems. Build and configure GenAI-powered agentic workflows operating at billion-event scale. Join a seed-stage company with strong traction and meaningful equity upside. Competitive base salary plus equity. Platinum-tier medical, dental, and vision insurance. Unlimited PTO. Lunch and wellness stipend. What Will You Do? Own the end-to-end integration strategy for enterprise customers. Act as the primary technical point of contact post-sale. Partner with customers to understand risk workflows and configure the platform accordingly. Design and implement GenAI-powered automations and agentic workflows. Work hands-on with customer data backends and integrations. Troubleshoot, optimize, and scale AI-driven systems in production. Contribute to scripting, automation, and potentially core product improvements. Role Breakdown Approximately 70% customer interaction, platform configuration, and strategy. Approximately 30% scripting, automation, and technical implementation. What You Will Need Experience deploying enterprise B2B SaaS solutions. Hands-on experience working with LLMs or GenAI systems in production. Strong coding skills in Python, Java, TypeScript, or similar. Comfort working with ambiguity and high-ownership environments. Strong communication and interpersonal skills—this is a customer-facing engineering role. Some startup experience or strong signals (top-tier companies, top schools, impressive GitHub). Strongly Preferred Experience as a Forward Deployed Engineer or AI Engineer at another AI startup. Growth-stage startup experience. Experience with enterprise integrations and AI system performance measurement (precision, recall, evaluation). Understanding how LLM systems fail and how to mitigate those failures in production. Must Not Have Job hopping history. Unexplained employment gaps. Long-time manager/CTO returning to IC without recent hands-on depth. Customer support-only background. Consulting-only background. #J-18808-Ljbffr

Vacancy posted 5 days ago
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