2 months ago
Responsibilities
- Own complex enterprise deployments end-to-end by architecting agent systems, building integrations, and making scope, speed, and quality trade-offs.
- Serve as the technical anchor for an FDE pod through design and code reviews, mentoring FDE I/II engineers, and handling difficult production escalations.
- Build evaluation harnesses, deployment tooling, debugging infrastructure, and reusable engineering patterns.
- Translate deployment learnings into prototypes and product feedback, and collaborate with core engineering on platform improvements.
- Lead architecture discussions with customer engineering leaders and act as a trusted technical peer during production issues.
Requirements
- At least 5 years of production software engineering experience and experience shipping and operating systems at scale.
- Expertise in Python, APIs, cloud infrastructure, and CI/CD, with the ability to debug distributed systems under pressure.
- Hands-on experience with LLM agent systems, including orchestration, tool calling, evaluations, and context engineering, or the ability to ramp quickly.
- Ability to work directly with enterprise stakeholders, translate ambiguity into plans, and manage production incidents calmly.
- High agency and the ability to identify and pursue high-leverage problems with limited guidance.
- Prior forward deployed or solutions engineering experience at an AI or enterprise software company is preferred.
- Real-time voice or conversational AI experience is preferred.
- Early-stage startup experience is preferred.
Benefits
- Competitive base, bonus, and equity are offered, with no specific compensation figures stated.
- Catered lunch daily.
- Dinner stipend.
- $500/month wellness and commuter benefit covering gym, fitness classes, and mental health.
- 401(k) plan.
- Medical, dental, and vision coverage.
Tech Stack
Categories
Forward Deployed
About Giga
Giga builds and deploys AI support agents for large B2C enterprises, automating customer service across voice, chat, and email. The company sells enterprise software and managed AI agents to handle support and operations workflows, with named customers including DoorDash. Privately held and headquartered in San Francisco, it targets global enterprises and has raised a Series A to scale its platform.