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NEXTMOVEFDE careers · United States
GigaML

Senior Fullstack Engineer

AI summary of the role

Senior fullstack engineer to build the customer-facing product for configuring, monitoring, and interacting with AI agents at a well-funded voice AI startup.

What you’ll do

  • Own features end-to-end: from APIs and data models to customer-facing interfaces for managing AI agents and understanding performance
  • Build agent configuration APIs and interfaces so customers can set up and customize agents without writing code
  • Create analytics dashboards with data pipelines and visualizations for agent performance
  • Design conversation interfaces and backend systems for storing and retrieving agent conversation data

What you’ll bring

  • 4+ years of fullstack engineering experience building user-facing products
  • Strong in both frontend (TypeScript, React) and backend (Python or similar)
  • Good product instincts—can take a rough design and fill in the gaps
  • Comfortable working across the entire stack from database queries to UI

Technologies

TypeScript · React · Next.js · Python · Django · FastAPI · Node.js · AWS · Kubernetes · Postgres

Source and classification

Production engineering · Evidence for this classification:

and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role We're looking for a fullstack engineer to build the product our customers use to configure, monitor, and interact with their AI agents. You'll own features end-to-end: from the APIs and data models to the interfaces customers use to manage their agents and understand performance. This is a product engineering role. You'll work closely with design and product to ship features that customers actually use, iterating based on feedback and usage data. You'll need to balance polish with speed; we're a startup, so we ship fast, but the product still needs to feel good. What You'll Work On A few
More from the job description

About Giga Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building 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. It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers. The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us: Voice AI startup Giga raises $61M Series A DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role We're looking for a fullstack engineer to build the product our customers use to configure, monitor, and interact with their AI agents. You'll own features end-to-end: from the APIs and data models to the inte [... source excerpt omitted ...] ormance. This is a product engineering role. You'll work closely with design and product to ship features that customers actually use, iterating based on feedback and usage data. You'll need to balance polish with speed; we're a startup, so we ship fast, but the product still needs to feel good. What You'll Work On A few examples from our current roadmap: Agent configuration: Building the APIs and interfaces that let customers set up and customize their agents without writing code Analytics dashboards: Creating the data pipelines and visualizations that help customers understand how their agents are performing Conversation interfaces: Designing how users interact with and [... source excerpt omitted ...] oarding: Taking customer conversations, policies, and API documents, and automatically translating that into a highly-effective personalized agent As a senior fullstack engineer, you'll own features end-to-end, from database schema and API design through frontend implementation. You'll make decisions about system architecture, data modeling, and how to structure the codebase as it grows. Tech Stack Frontend: TypeScript, React, Next.js Infrastructure: AWS, Modal, Kubernetes, Postgres Backend: Python (Django/FastAPI), TypeScript (Node.js) You Might Be a Fit If You Have 4+ years of fullstack engineering experience building user-facing products Are strong in both frontend (

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