Full Stack Software Engineer - Remote

YO AI Labs View all jobs

Fort Meade, MD, United States

5 days ago

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Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$87,100.0 - $157,450.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Artificial Intelligence Software Bug Management C++ (Programming Language) Code Review Software Debugging DevOps Performance Tuning Software Construction Software Engineering TypeScript Reinforcement Learning

+5 more

Rust (Programming Language) Codebase Machine Learning Operations Code Restructuring Service Stack

Job description

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required., * Create reinforcement learning environments for software engineering tasks.

Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
Build deterministic verification systems and golden reference solutions.
Evaluate AI agents’ ability to reason through complex codebases and use MCP tools effectively.
Develop realistic, reproducible software engineering scenarios.
Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
Document solutions and provide clear technical feedback., Description Leidos is looking for our next TS/SCI-cleared DevOps Software Engineer to join a high-energy team building and deploying a cutting-edge technology stack in support of…
20 days ago +

Requirements

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
Strong understanding of algorithms and data structures.
Experience with bug fixing and debugging complex software issues.
Proven experience in feature implementation and codebase refactoring.
Strong knowledge of performance optimization and tuning.
Excellent written and verbal communication.
Strong attention to detail., * Experience working with large-scale or distributed codebases.
Familiarity with AI/ML systems is a plus but not required.
Experience with rigorous code reviews and software engineering best practices.
Experience working effectively in remote or cross-functional teams.

Benefits & conditions

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding.