AI/ML Engineer II
Astreya
IndiaremotePosted 14 days ago
Skill Required
Solutions-EngineeringSoftware-EngineerCustomer-Success-EngineeringTechnical-ConsultingAI-ML-EngineerAI-ML-Engineer-JobsMachine Learning EngineerAI EngineerAIMachine LearningData StructuresDockerKubernetesEngineeringJavaScriptTypeScriptsecurityetc.)AzurePythondesignCloudJavaAPIsETLAWSGCPandGoFulltime
Key highlights
- 4+ years of experience required
- Travel 20-50% depending on team and customer base
- Opportunity to ship customer-facing code within days, not quarters
- Direct influence on product direction
- Customer-facing technical role at a startup
- Works with sales and customer success teams during pre-sales technical evaluations, POCs, and pilots
Role overview
Responsibilities
- 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)
Requirements
- 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)
Additional details
- Originally posted on Himalayas
- 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.