Ai/Ml Engineer II

About the role

AI/ML Engineer II on the Field Deployment Engineering (FDE) team, working remotely from India to embed with customers and build custom solutions, integrations, and workflows on the company's platform. Day-to-day work includes designing and deploying production code (APIs, data pipelines, scripts, internal tools), prototyping and hardening solutions, debugging across customer and platform infrastructure, and acting as the technical bridge between customers and core product/engineering. The role also involves partnering with sales and customer success on pre-sales evaluations, POCs, and pilots, and traveling to customer sites as needed.

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 the 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 the company's 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

What you’ll bring

• 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 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 the specific domain (e.g., data infra, AI/ML, security)

Skills