AI/ML Engineer II

What You'll Do - Embed with customers (onsite or remote) to deeply understand their technical stack, data structures, and business workflows - Design, build, and deploy custom solutions, integrations, and workflows on top of our platform to solve high-value customer problems - Write production-quality code - APIs, data pipelines, scripts, internal tools - tailored to each customer's environment - Act as the technical bridge between customers and the core product/engineering team, translating field learnings into product requirements and roadmap input - Rapidly prototype solutions during discovery, then harden them into scalable, maintainable systems - Debug and resolve complex technical issues across the customer's infrastructure and our own platform - Partner with sales and customer success teams during pre-sales technical evaluations, POCs, and pilots - Identify patterns across customer engagements that reveal opportunities for new product features or platform capabilities - Travel to customer sites as needed (varies by role/region) What We're Looking For - 4+ years of experience as a software engineer, solutions engineer, or similar hands-on technical role - Strong coding ability in at least one modern language (Python, TypeScript/JavaScript, Go, Java, etc.) and comfort working across the stack - Experience with databases, APIs, and data integration/ETL patterns - Demonstrated ability to work independently in ambiguous, fast-changing environments with limited specs - Strong communication skills - able to explain technical tradeoffs to both engineers and business stakeholders - Customer-facing experience or a strong desire to work directly with customers, not just behind a ticket queue - A builder's mindset: comfortable going from whiteboard to working prototype to production system - Willingness to travel (typically 20–50%, depending on team and customer base) Nice to Have - Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes) - Background in a regulated or complex enterprise environment (finance, healthcare, government, logistics) - Prior experience at a startup in a customer-facing technical role - Familiarity with our specific domain (e.g., data infra, AI/ML, security) Why This Role Is Different - FDEs get unusually direct exposure to real customer problems and unusually direct influence on product direction. If you like the idea of shipping code that a customer uses within days - not quarters - and want your engineering work to be tightly coupled to business impact, this role is built for that.