Continuum Resource Network

Technical staffing for EOR and MSP

Software Engineer - Technical Advisor

Software EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

Eight or more years of production engineering experience is preferred, with exceptions only for clearly exceptional profiles.
Experience as a Senior, Staff, or Principal Software Engineer, Tech Lead, or Open-Source Maintainer.
Experience working in production codebases with a strict code review culture; experience at startups, big tech, or in open source is acceptable.
Comfort with Python and TypeScript and the ability to work in unfamiliar programming languages.
Demonstrated comfort using Docker, git, and the command-line interface to reproduce, isolate, and debug results locally.
Comfort working across backend, frontend, APIs, data, testing, or developer tooling.
Strong written communication skills, including the ability to explain why code fails.

Responsibilities

Analyze AI coding-agent behavior across entire coding sessions, tracking what the agent investigates, verifies, assumes, and leaves undone.
Audit model-generated pull requests against production repositories and document each identified issue with its severity and detailed technical rationale.
Design and construct hard, container-based problems as test benchmarks for frontier models.
Work directly with AI researchers on frontier problems and produce clear written analyses explaining root-cause failures and boundary-condition gaps.
Author original, clear technical rationales for all evaluations without AI text generation; AI tools may be used for codebase exploration and running test suites.

Software Engineer - Technical Advisor

Continuum Resource Network · United States (Remote) · Full-time · Posted 2026-08-27

Workplace: remote

Description

We are helping our client find exceptional Software Engineer - Technical Advisors who want to spend a focused period doing something most engineers never get to do: find out exactly where frontier models break on real engineering work.

You will take on hard problems across production-grade codebases, then work out precisely where and why model-generated solutions fall short. You will also build the hard problems those models are tested on. Your judgment about what separates good engineering from plausible engineering is the entire point of the role.

What you'll do

Evaluate Agent Sessions: Analyze how AI coding agents behave over entire coding sessions—tracking what the agent investigates, verifies, assumes, and leaves undone.
Review Model-Written Pull Requests: Audit model-generated pull requests against real production repositories, documenting every identified issue alongside its severity and detailed technical rationale.
Build Evaluation Benchmarks: Design and construct hard, container-based problems that serve as rigorous test benchmarks for frontier models.
Collaborate with AI Researchers: Work directly alongside AI researchers on frontier problems, producing clear written analyses that explain root-cause failures and boundary-condition gaps.
Maintain High Written Rationale Standards: Author original, clear technical rationale for all evaluations (all written deliverables must be independently authored without AI text generation, though AI tools are welcomed for codebase exploration and running test suites).

Requirements

Requirements:

8+ years of production engineering experience preferred (exceptions only for clearly exceptional profiles).
Backgrounds including Senior, Staff, or Principal Software Engineers, Tech Leads, or Open-Source Maintainers.
Experience working in production codebases with a strict code review culture (startups, big tech, or open source are all acceptable).
Polyglot adaptability: Heavy experience with Python and TypeScript is common, but must be comfortable dropping into unfamiliar languages weekly.
Core Tooling: Demonstrated comfort using Docker, git, and the Command Line Interface (CLI) to reproduce, isolate, and debug results locally.
Cross-Layer Fluency: Comfort working across backend, frontend, APIs, data, testing, or developer tooling.
Strong written communication skills—able to articulate why code fails, not just how to fix it quickly.

Apply

Apply at Continuum Resource Network

About the Company

Continuum Resource Network

Technical staffing for EOR and MSP

Continuum Resource Network specializes in niche technical staffing in Manufacturing Engineering, AI, and Software Development. It serves Employer of Record (EOR) and MSP clients by providing high-volume recruitment, offering full-time contingency placements and contract staff augmentation, with recruiters focused on a single discipline and augmented by AI for broader talent reach while preserving personal interaction with clients and candidates. Its approach combines disciplined expertise, transparent communication, and agile support to deliver matches for roles like Autonomous Vehicle Operator, Software Engineer, and Systems Engineer. The goal is to provide scalable, reliable staffing for emerging technologies and project-based or long-term needs, differentiating from general firms through discipline-specific focus and a personal, transparent service model.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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