AvasarAI

AI/ML Engineer II

Astreya · 1 day ago

Verified today🌱 FreshArtificial Intelligencefull-timemidIndia-eligible
Not disclosed
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PythonTypeScriptJavaScriptGoJavaDockerKubernetesAWSGCPAzure

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.
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