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Senior Forward Deployed Engineer

Giga· Engineering
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San FranciscoFull-timePosted 2mo ago

About the role

Senior individual contributor role acting as technical anchor of a pod of Forward Deployed Engineers (FDEs). Owns the most complex enterprise deployments, builds tooling and practices to accelerate future deployments, engages directly with customer engineering leadership, and shapes patterns, standards, and platform improvements across the organization.

Responsibilities

  • Own the hardest deployments end-to-end. Architect agent systems for Fortune 500 environments, build enterprise integrations, and make trade-off calls to 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 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.

Qualifications

  • 5+ years of production software engineering, ideally at companies known for high engineering bars.
  • You've shipped and operated real systems at scale.
  • Expert in Python, APIs, cloud infrastructure, CI/CD.
  • Ability to debug distributed systems under pressure and learn new integration surfaces quickly.
  • Hands-on with LLM agent systems — orchestration, tool calling, evals, context engineering — and latency budgets real-time voice demands.
  • Customer-tolerant with enterprise stakeholders; can translate ambiguity into a plan and stay calm when production is on fire.
  • High agency and ability to tackle high-leverage problems with limited guidance.

Skills

Required:PythonAPIsCloud infrastructureCI/CDLLM agent systemsCustomer communicationSystems debugging under pressure
Nice to have:Real-time voice / telephony

Benefits

  • Competitive base + bonus + equity
  • Catered lunch daily
  • Dinner stipend
  • $500/month wellness & commuter benefit (gym, fitness classes, mental health)
  • 401(k) plan
  • Medical, dental, and vision coverage
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Giga

AI that talks like a human.

Enterprises choose Giga for AI agents that manage complex workflows, deploy rapidly, and deliver human-like customer experiences at scale.

AIsupport automationenterprise supportworkflow managementhuman-like customer experiences
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