Senior Forward Deployed Engineer
at Gigaml
San Francisco, onsite, senior, full time, 5+ years
posted 28 Jul 2026
- Tool Calling
- Evals
- APIs
- CI/CD
- LLM
- Agentic Orchestration
- Cloud Infrastructure
- Context Engineering
- Python
About the role
Posted: 2026-07-28
What you would do
- Own the hardest deployments end-to-end. Architect agent systems for Fortune 500 environments, build enterprise integrations, and make the scope/speed/quality trade-off calls that ship production agents on aggressive timelines.
- Be the technical anchor of your pod. Set the engineering bar through design and code reviews, mentor FDE I/II engineers, and serve as the escalation point for the hardest live issues — real-time voice latency, telephony edge cases, integration failures, agent quality regressions.
- Build leverage, not just deployments. Create the eval harnesses, deployment tooling, debugging infrastructure, and reusable patterns that compound across every pod.
- Drive the product feedback loop. Turn deployment learnings into prototypes and concrete asks, and work directly with core engineering to land platform improvements.
- Face the customer as a technical peer. Run architecture discussions with customer engineering leaders and be the person they trust when production breaks.
What they are looking for
- Strong engineering foundation. 5+ years of production software engineering, ideally at companies known for high engineering bars. You've shipped and operated real systems at scale.
- Deep on the stack. Expert in Python, APIs, cloud infrastructure, CI/CD. You debug distributed systems under pressure and learn new integration surfaces quickly.
- AI-native. Hands-on with LLM agent systems — orchestration, tool calling, evals, context engineering — and the latency budgets real-time voice demands (or the chops to ramp fast).
- Customer-tolerant. You can sit across from enterprise stakeholders, translate ambiguity into a plan, and stay calm when production is on fire in front of them.
- High agency. You find the highest-leverage problem and go, with limited or no guidance.
- Prior forward deployed / solutions engineering at an AI or enterprise software company
- Real-time voice or conversational AI experience
- Early-stage startup experience
What comes with it
- Competitive base + bonus + equity
- Catered lunch daily
- Dinner stipend
- $300/month wellness & commuter benefit (gym, fitness classes, mental health)
- 401(k) plan
- Medical, dental, and vision coverage
Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
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