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About the Role

We are hiring Senior Forward Deployed Engineers to scale our FDE organization. This senior individual contributor role is for engineers who want to remain engineers. You will be the technical anchor of a pod of FDEs, own complex enterprise deployments, and build tooling and practices to accelerate future deployments. Your impact will span the organization, establishing systems, patterns, and standards for all pods.

Responsibilities

Own the hardest deployments end-to-end.
Architect agent systems for Fortune 500 environments.
Build enterprise integrations.
Make scope/speed/quality trade-off decisions 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.
Serve as the escalation point for the hardest live issues, including real-time voice latency, telephony edge cases, integration failures, and agent quality regressions.
Create eval harnesses, deployment tooling, debugging infrastructure, and reusable patterns that compound across every pod.
Turn deployment learnings into prototypes and concrete asks.
Work directly with core engineering to land platform improvements.
Run architecture discussions with customer engineering leaders.
Act as the trusted technical contact for customers when production issues arise.

Requirements

5+ years of production software engineering experience, ideally at companies with high engineering standards.
Shipped and operated real systems at scale.
Expert in Python, APIs, cloud infrastructure, and CI/CD.
Experience debugging distributed systems under pressure.
Ability to learn new integration surfaces quickly.
Hands-on experience with LLM agent systems, including orchestration, tool calling, evals, and context engineering.
Understanding of latency budgets for real-time voice or ability to ramp up quickly.
Ability to sit across from enterprise stakeholders, translate ambiguity into a plan, and remain calm under pressure.
High agency: ability to identify and pursue the highest-leverage problems with limited guidance.

Skills

Python
APIs
Cloud infrastructure
CI/CD
Distributed systems debugging
LLM agent systems
Orchestration
Tool calling
Evals
Context engineering
Real-time voice
Conversational AI

Location

Remote

Work Type

Full-time

Experience Level

Senior

Salary/Compensations

Competitive base + bonus + equity

Benefits

Catered lunch daily
Dinner stipend
$500/month wellness & commuter benefit
401(k) plan
Medical, dental, and vision coverage

About the Company

Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises.
Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter.
We're at an exciting inflection point.
Our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence.
The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies.

Equal Opportunity

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.