GigaML
Forward Deployed Engineer I/II
About this role
Giga is hiring a Forward Deployed Engineer to serve as the technical bridge between the company and enterprise customers, building and deploying AI agent solutions. You'll own the full lifecycle of agent development while gathering customer feedback to improve the platform for all users.
What you'll do
- Conduct discovery calls, demos, and customer engagement from initial contact through deployment
- Build, prototype, and maintain production AI agents with monitoring and iteration
- Set up CI/CD pipelines, debug live issues, and document best practices
- Serve as primary technical point of contact for customer accounts in a fast-paced environment
- Capture unmet customer needs and prototype new features for the product team
- Collaborate with core engineering teams to strengthen the platform based on real-world usage
What they're looking for
- React and Python development
- API integration and tool calls
- Customer communication and problem-solving
- CI/CD and deployment practices
- Debugging and troubleshooting
- Rapid prototyping
- Attention to detail
- Context switching and adaptability
Benefits
- Competitive base salary, bonus, and equity
- Daily catered lunch and dinner stipend
- $500/month wellness and commuter benefits
- Medical, dental, and vision coverage
- 401(k) plan
- Work with Fortune 500 customers on cutting-edge AI technology
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GigaML
GigaML builds an AI agent platform that powers enterprise customer service and experience solutions for Fortune 500 companies. The company is hiring forward-deployed engineers, backend software engineers, security engineers, and mobile engineers to develop and deploy AI-powered agents, backend infrastructure, security systems, and mobile SDKs.
View all jobs at GigaMLLikely interview questions
- Walk us through your experience building or deploying AI agents or similar systems. What was the most complex integration you've worked on, and how did you handle debugging live issues?
- Tell us about a time you owned a project end-to-end—from discovery through launch. How did you balance speed with quality, and how did you gather customer feedback?