Senior Full-Stack Software Engineer

SaidGig; New York (NY); On-site; USD 124,000 - 152,000; Full time

Job summary

SaidGig is seeking an experienced engineer to build and stress-test production software atop advanced large language models, evaluating frontier AI capabilities before release. You will work with an AI lab's engineering manager, translating hands-on findings into actionable feedback and shipping working code early.

This US-based, full-time hourly role requires 6+ years of experience across Python/Java/Rust/C#/C++/TypeScript, backend APIs, React, data modeling, and cloud deployment, with strong

Qualifications

• 6+ years of professional experience building and shipping production software.
• Expertise in at least one of Python, Java, Rust, C#, or C++, and delivery in a second language.
• Experience with backend services, API design, React, data modeling, and cloud deployment.
• Ability to ramp up quickly in unfamiliar codebases and deliver code with minimal onboarding.
• Strong written communication and ability to explain complex technical decisions.

Responsibilities

• Build and ship full-stack applications, services, and internal tools in Python, Java, Rust, C#, C++, or TypeScript that exercise model capabilities end to end.
• Integrate pre-release model APIs into working software, including tool interfaces, evaluation harnesses, and telemetry.
• Identify and document model and integration failure modes, communicating clear written feedback to research teams.
• Rapidly prototype against evolving requirements and deliver working increments with limited up-front specification.
• Collaborate with the engineering manager and other engineers to maintain code quality, architectural consistency, and technical documentation.

Skills

Python

Java

Rust

C#

C++

TypeScript

React

APIs

Cloud deployment

Job description

Role Overview

Build and stress-test production software on top of advanced large language models, helping evaluate frontier AI capabilities before release. You will work on fast-moving initiatives with an AI lab's engineering manager, contributing working code early and translating hands-on engineering findings into actionable feedback.

Key Responsibilities

• Build and ship full-stack applications, services, and internal tools in Python, Java, Rust, C#, C++, or TypeScript that exercise model capabilities end to end.
• Integrate pre-release model APIs into working software, including tool interfaces, evaluation harnesses, and telemetry.
• Identify and document model and integration failure modes, communicating clear written feedback to research teams.
• Rapidly prototype against evolving requirements and deliver working increments with limited up-front specification.
• Collaborate with the engineering manager and other engineers to maintain code quality, architectural consistency, and technical documentation.

Qualifications

• 6+ years of professional experience building and shipping production software at a recognized top-tier organization, including end-to-end systems ownership.
• Deep production expertise in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language from a different ecosystem.
• Experience across backend service and API design, a modern front-end framework such as React, data modeling, and cloud deployment and operations.
• Ability to ramp up quickly in an unfamiliar codebase and deliver working code with minimal onboarding time.
• Demonstrated career progression, strong written communication skills, and the ability to explain complex technical decisions clearly.
• This engineering group is intentionally staffed across multiple language ecosystems.

Work Terms

• United States-based, hourly W-2 employment role.
• Full-time weekday commitment of at least 40 hours per week.
• Work directly with the engineering manager on high-impact AI initiatives, with an expectation to onboard quickly and begin contributing early.

Compensation

$90 to $110 per hour.

Equal Opportunity

Employment decisions are made without discrimination based on any legally protected characteristic.