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.