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HCompany

Forward Deployed Engineer

Hybrid SF/Bay Area (Remote)$150k–$200kfulltimemidAdded 1 month ago

About this role

H Company seeks a Forward Deployed Engineer to implement autonomous AI agents for customers, integrating them with existing systems and gathering field insights to shape product development. You'll work directly with clients to identify high-impact automation opportunities, build production-grade solutions, and iterate rapidly based on real-world feedback.

What you'll do

  • Identify and prioritize customers' most impactful multi-step tasks for automation
  • Integrate AI agents with customer databases, APIs, and internal tools
  • Rapidly prototype and iterate solutions with tight customer feedback loops
  • Build and maintain scalable, production-grade services and APIs
  • Collaborate with product, research, and engineering teams on roadmap alignment
  • Travel on-site for customer deployments and engagements as needed

What they're looking for

  • 3+ years professional software engineering experience
  • AI/ML systems and LLM integration
  • Backend languages (Python, Go, Node.js, Java)
  • Frontend frameworks (React, Vue)
  • Production systems architecture and deployment
  • Third-party API and database integration
  • Problem-solving in ambiguous, customer-facing contexts
  • Written and verbal communication

Benefits

  • Competitive salary: $150,000–$180,000 based on experience
  • Equity compensation
  • Early-stage AI startup opportunity with founding team
  • Multicultural, high-trust engineering environment
  • Professional growth and continuous learning opportunities
  • Hybrid/remote flexibility (Paris or US-based)
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HCompany

HCompany builds autonomous AI agents that integrate with existing customer systems to drive automation. The company is hiring Forward Deployed Engineers to implement these solutions directly with clients, identify automation opportunities, and translate field insights into product improvements.

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Likely interview questions

  • Tell us about a time you integrated third-party APIs or external systems into a production application. What challenges did you face and how did you ensure reliability and security?
  • Describe your experience working with AI/ML systems, particularly LLMs or agentic workflows. How have you integrated these into a real product?
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