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