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Evolver

Forward Deployed Engineer

Palo Alto, CAmidAdded 1 month ago

About this role

An AI startup is seeking a Forward-Deployed Integration Engineer to work directly with enterprise customers on deploying and integrating their generative AI platform. You'll bridge the gap between core engineering and customer success, handling hands-on implementation, troubleshooting, and feeding product insights back to the team.

What you'll do

  • Deploy and configure the platform in enterprise customer production environments
  • Integrate platform with customer systems, APIs, data sources, and authentication frameworks
  • Write custom scripts and connectors in Python to support customer needs
  • Troubleshoot technical issues in real time and drive them to resolution
  • Gather customer feedback and translate it into actionable product improvements
  • Develop deployment playbooks, migration guides, and operational best practices

What they're looking for

  • Python programming in production environments
  • Azure cloud services and deployment
  • Enterprise system and API integration
  • Cloud security and deployment models
  • Distributed systems troubleshooting and debugging
  • Technical communication with diverse stakeholders
  • Problem-solving and analytical thinking
  • Customer engagement and relationship management

Benefits

  • Competitive compensation tailored to experience
  • Career growth and leadership opportunities
  • Work at forefront of AI innovation
  • Fast-paced startup environment
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Evolver

Evolver builds generative AI software solutions for professional services automation. The company is hiring GenAI Engineers to develop AI products and Forward-Deployed Integration Engineers to implement and integrate its platform with enterprise customers.

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Likely interview questions

  • Walk us through a complex enterprise system integration you've led—what were the technical challenges, and how did you ensure success across customer and internal teams?
  • Describe your experience deploying applications on Azure. What services have you used, and how have you handled security and compliance requirements in production environments?