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.