Senior Forward Deployed Engineer

Handshake Handshake · Enterprise · India · Engineering

Senior Forward Deployed Engineer to work directly with frontier AI labs, solving complex engineering challenges by understanding technical requirements, architecting, building, and scaling production systems. The role involves end-to-end lifecycle ownership of customer deployments, partnering with Engineering, Research, Product, and Operations teams to deliver solutions and improve customer workflows and model performance.

What you'd actually do

  1. Partner directly with frontier AI labs to understand complex technical challenges and translate them into scalable engineering solutions
  2. Partner closely with Engineering, Research, Product, and Operations teams in the US to execute against a shared roadmap
  3. Design, build, and deploy production-grade applications that solve high-impact customer problems
  4. Own technical architecture for customer deployments with a focus on reliability, scalability, security, and maintainability
  5. Rapidly prototype, test, and iterate on solutions based on customer feedback

Skills

Required

  • 6+ years of professional software engineering experience
  • Experience leading technically complex customer-facing, solutions engineering, or forward deployed engineering projects
  • Strong proficiency with TypeScript, React, and modern backend architectures
  • Deep understanding of relational databases (e.g., PostgreSQL), system design, distributed systems, and cloud infrastructure
  • Experience building and operating production systems on AWS or GCP
  • Strong technical judgment and the ability to solve complex engineering problems in fast-moving, ambiguous environments
  • Excellent communication and stakeholder management skills
  • Experience collaborating effectively with globally distributed engineering teams, including teams based in the US

Nice to have

  • Experience building AI-powered products, LLM infrastructure, or machine learning platforms
  • Experience working directly with enterprise customers or strategic technical partners
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines
  • Experience supporting applied AI or ML research teams
  • Experience working in a fast-growing startup or high-growth engineering organization

What the JD emphasized

  • frontier AI labs
  • customer deployments
  • production systems
  • model performance
  • technical requirements
  • scalable engineering solutions
  • production-grade applications
  • customer problems
  • technical architecture
  • customer engagements

Other signals

  • Partner directly with frontier AI labs to understand complex technical challenges and translate them into scalable engineering solutions
  • Design, build, and deploy production-grade applications that solve high-impact customer problems
  • Own technical architecture for customer deployments with a focus on reliability, scalability, security, and maintainability
  • Rapidly prototype, test, and iterate on solutions based on customer feedback
  • Build reusable tools, frameworks, and deployment patterns that improve delivery across customer engagements