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Forward Deploy Engineer

Insight Global

San Francisco, CAJobSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Work Authorization
Not specified

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Job overview

The Forward Deploy Engineer designs and maintains sandboxed environments for AI agent training and evaluation. The role builds containerized environments and tools for agent interaction, develops observability and data-capture frameworks, and manages CI/CD, testing, and reliability. It partners with operations teams on evaluation tasks and prototypes new environment types as AI and client needs evolve, working across infrastructure, developer tooling, and agent evaluation systems.

Skills & qualifications

RequiredNice to have

Skills

PythonSystems ProgrammingContainerization and SandboxingDeveloper ToolingInfrastructure AutomationReinforcement LearningLinuxDebuggingTechnical DocumentationAcademic PapersOpen-Source RepositoriesRL Environment DevelopmentGymnasium/GymPettingZooOSWorldTerminalBenchWebArenaSWE-BenchTau-BenchBrowser AutomationAWS or GCPAI InfrastructureAgent EvaluationML PlatformsOpen-Source ContributionsStartup EngineeringAI Lab ExperienceAI Tooling

Qualifications

2+ Years Software Engineering Experience

Full job description

Job Description

Design, build, and maintain sandboxed environments for AI agent training and evaluation Create containerized environments using Docker, VMs, and lightweight sandboxing solutions Develop tooling that allows agents to interact with terminals, browsers, APIs, and external tools Build observability, logging, monitoring, and data capture frameworks Partner with operations teams to create evaluation tasks and testing environments Manage CI/CD pipelines, automated testing, and environment reliability Prototype new environment types quickly based on evolving AI and client needs Work heavily across infrastructure, developer tooling, and agent evaluation systems

Skills and Requirements

2+ years of professional Software Engineering experience Strong Python development experience Experience with at least one systems language (Go, Rust, or C++) Hands-on containerization/sandboxing experience (Docker, Podman, Firecracker, etc.) Experience building developer tools, CLI tools, or infrastructure automation Understanding of Reinforcement Learning concepts: MDPs Reward shaping Episodes Observation/action spaces Experience working in Linux/terminal-heavy environments Strong debugging and troubleshooting skills Ability to read and implement from technical documentation, academic papers, and open-source repositories Built or maintained RL environments Experience with: Gymnasium/Gym PettingZoo OSWorld TerminalBench WebArena SWE-bench Tau-bench Browser automation experience (Playwright, Selenium, Puppeteer, etc.) AWS or GCP experience AI infrastructure, agent evaluation, or ML platform experience Open-source contributions Startup engineering background Experience at AI labs, AI tooling companies, or ML platform organizations

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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