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Only W2: Forward Deployed Engineer (FDE) - AI / Full Stack, Onsite – Santa Clara, CA 95054

TrorSanta Clara, CA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationSanta Clara, CA, United States
Stakeholder ManagementSQLOAuthSAMLSSOLLMRequirements GatheringRESTCI/CD

Job description

Role: Forward Deployed Engineer (FDE) – AI / Full Stack
Location: Onsite – Santa Clara, CA 95054
Experience: 10+ Years
Candidates should have hands-on experience in customer-facing engineering, AI/LLM implementation, full-stack development, and taking solutions from requirements gathering through production deployment.
FDE experience + hands-on AI/LLM integration + Full Stack Engineering + enterprise implementation. Traditional developers without FDE or equivalent customer-facing delivery experience should not be prioritized.
Role Overview
We are looking for an experienced Forward Deployed Engineer (FDE) with strong AI/LLM and Full Stack Development skills. The candidate will work directly with business stakeholders and technical teams to understand business challenges, develop customized AI-driven solutions, integrate them into existing enterprise systems, and take ownership of end-to-end implementation and production deployment.
Mandatory Technical Skills
  • FDE Experience: Prior experience as a Forward Deployed Engineer or in a similar customer-facing engineering role, working directly with clients to deliver technical solutions.
  • AI/LLM Engineering: Hands-on experience integrating LLMs into business applications and workflows. Experience using AI tools to accelerate development, testing, and deployment.
  • Full Stack Development: Strong hands-on experience in backend development, APIs, and frontend applications.
  • API & Enterprise Integrations: Experience with REST APIs, webhooks, OAuth, SAML/SSO, and integration with enterprise systems.
  • Database & Infrastructure: Strong SQL, data mapping, and data migration skills. Experience with containers, CI/CD pipelines, and environment configuration.
  • Production Troubleshooting: Ability to identify root causes, debug application issues, implement fixes, and validate solutions in production environments.
  • Security: Understanding of access controls, sensitive data protection, and enterprise security requirements.
Key Responsibilities
  • Work directly with business stakeholders to understand requirements, identify workflow challenges, and recommend AI-driven solutions.
  • Design, develop, and integrate LLM-powered applications into existing enterprise workflows.
  • Own end-to-end implementation, including environment setup, configuration, data migration, testing, deployment, and rollback planning.
  • Work within existing enterprise technology stacks and architecture.
  • Troubleshoot technical issues and resolve adoption challenges faced by business users.
  • Ensure solutions are secure, reliable, and production-ready.
  • Create technical documentation, deployment guides, runbooks, and knowledge transfer materials.
  • Communicate project progress, identify risks, and proactively recommend solutions.
Candidate Expectations
  • Ability to work independently and take complete ownership of technical delivery.
  • Strong customer-facing communication and stakeholder management skills.
  • Comfortable working in dynamic environments with evolving requirements.
  • Ability to translate business problems into practical technical solutions.
  • Willingness to work onsite and collaborate directly with client teams.

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