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Forward Deployed Engineer (FDE) – Applied AI

Apolis
πŸ‡ΊπŸ‡Έ United States
Remote
Staff / Principal
2 weeks ago
$92 – $96 / hour
  • AI
  • Python
  • GCP
  • Terraform
  • IaC
  • MCP
  • React.js
  • RAG
  • Microservices
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Forward Deployed Engineer (FDE) – Applied AI

Location: Mountain View, CA - Remote

Job Summary

We are seeking an experienced Forward Deployed Engineer (FDE) – Applied AI to lead customer-facing AI initiatives. The ideal candidate will transform conversational AI prototypes into production-ready, scalable, secure, and high-performing AI solutions.

Required Skills

  • 8+ years of software development experience using Python or similar languages

  • Experience architecting and deploying AI systems on cloud platforms, preferably GCP

  • Hands-on experience with Terraform or similar Infrastructure-as-Code tools

  • Experience building full-stack applications integrated with enterprise IT environments

  • Experience developing solutions for external/customer-facing projects

  • Strong software engineering and cloud infrastructure knowledge

  • Experience with APIs, enterprise systems, and security infrastructure

  • GECX certification mandatory for Sourcing/Contractor profiles

Preferred Skills

  • Experience with Conversational AI and CX applications

  • Agentic AI / AI Agents

  • Multi-Agent Systems

  • MCP Servers

  • Frameworks such as ReAct and self-reflection

  • RAG and enterprise knowledge bases

  • RAG chunking and hallucination reduction

  • AI evaluation (Eval) pipelines and observability

  • Agent reasoning loops and tool selection optimization

  • Distributed tracing across microservices

  • Production troubleshooting of high-traffic systems

  • Experience with APIs, legacy data sources, networking, and security

  • Master's or PhD in AI, Computer Science, or related field

  • Willingness to travel up to 50%

Key Responsibilities

  • Develop and deploy production-grade Conversational AI and agentic workflows.

  • Design AI solutions integrating with APIs, enterprise systems, legacy data, and security environments.

  • Build AI evaluation and observability frameworks.

  • Optimize agent performance, tool selection, latency, reliability, and security.

  • Develop reusable AI engineering components and solutions.

  • Collaborate directly with customer engineering teams.

  • Drive AI solutions from prototype through production deployment and adoption.

  • Troubleshoot complex AI, microservices, API, networking, and cloud infrastructure issues.

Forward Deployed Engineer (FDE) – Applied AI Β· Apolis

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