AI Engineer - NYC
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Salary: $210,000–$275,000/year (U.S.-based in San Francisco, CA; adjusted for other locations based on cost of living)
Equity: Up to 0.05%
Benefits (US-based): Full medical, dental, vision (100% for employees); life & disability insurance; 401(k); generous PTO (15+ days); 12 weeks parental leave; wellness stipend; learning stipend; pet insurance.
SF-specific: HQ perks, e-bike loaner.
Other: Sabbatical after 4 years; team offsites.
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Develops generative and programmatic CAD pipelines for micro-device assemblies, integrating AI-driven workflows and CAD APIs to automate design exploration and optimization. Requires CAD scripting expertise, AI knowledge, and 5+ years experience (PhD) or equivalent.
Designs, develops, and deploys scalable ML systems using LLMs to process clinical data for healthcare applications. Requires 5+ years backend/cloud experience, Python fluency, and familiarity with ML frameworks; works onsite in Boston or NYC.
Senior Applied AI Engineer focused on helping customers build AI apps with Redis (80% customer engineering, 20% development). Requires 5+ years Python experience and 2+ years in ML systems.
Drive ML initiatives from concept to production on the Embedded Insights team. Identify opportunities, build and deploy models using Plaid's financial datasets, and partner with product teams to deliver scalable customer-facing intelligence products.