# Senior Forward Deployed Engineer

**Company:** [Giga](https://hotfix.jobs/companies/giga)
**Location:** San Francisco, CA, California
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Python, APIs, Cloud Infrastructure, CI/CD, LLMs, agent systems, orchestration, tool calling, evals, context engineering
**Posted:** 2026-07-28

> Senior Forward Deployed Engineer owning complex enterprise AI agent deployments for Fortune 500 customers. Architect systems, build integrations and tooling, mentor team, debug production issues in real-time voice environments, and drive product improvements from customer learnings. Requires 5+ years production software engineering, Python/cloud expertise, and hands-on LLM agent experience.

## Job Description

## What You'll 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.

## Who You Are
- 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.

## Nice to Have
- Prior forward deployed / solutions engineering at an AI or enterprise software company
- Real-time voice or conversational AI experience
- Early-stage startup experience

## Perks & 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

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