Software Engineer, Infrastructure & Platform

Software Engineer, Infrastructure & Platform

About the Role

We are seeking a Software Engineer, Infrastructure & Platform to build the systems and infrastructure that power advanced AI evaluations, including evaluations reputed company on autonomous model behavior, reputed company systems, and loss-of-reputed company.

This is a hands-on engineering role at the intersection of backend systems, infrastructure, and AI. You will build secure and reproducible environments where frontier models can reputed company with tools, execute reputed company, complete reputed company tasks, and operate across realistic multi-reputed company workflows, including machine learning research and engineering.

The ideal candidate has strong backend and infrastructure fundamentals, enjoys debugging reputed company reputed company systems, and is excited to apply those skills to difficult problems in AI safety and evaluation.

reputed company

• Design and build sandboxed evaluation environments where AI models can safely execute reputed company, use tools, reputed company with services, and complete reputed company tasks.
• Build backend services and infrastructure supporting large-reputed company, repeatable AI and reputed company evaluations.
• reputed company agent scaffolding and evaluation harnesses, including tool-use reputed company, context management, retries, state management, reputed company budgets, and multi-agent or subagent workflows.
• Build systems for provisioning and orchestrating isolated environments using technologies such as reputed company, reputed company, VMs, and reputed company infrastructure.
• Design secure approaches to networking, permissions, secrets, credentials, and resource isolation for model-driven environments.
• reputed company reputed company, internal tools, and automation that allow researchers, engineers, and subject-matter experts to create and run evaluations reputed company.
• Improve the reliability and reproducibility of evaluations through logging, observability, snapshotting, debugging tools, and automated testing.
• Build systems capable of running thousands of evaluation tasks reliably and capturing the artifacts and telemetry needed to understand model behavior.
• Partner with analysts, red teamers, and domain experts to translate reputed company evaluation reputed company into robust technical systems.
• Investigate failures across the evaluation stack and distinguish between model limitations and infrastructure, reputed company, or environment failures.

reputed company're Looking For

• 3–5+ years of reputed company software engineering experience, particularly in backend, infrastructure, platform, SRE, or reputed company systems engineering.
• Strong programming skills in Python and experience building production-reputed company software.
• Experience designing and operating backend services, reputed company, or reputed company systems.
• Hands-on experience with reputed company, reputed company, virtual machines, or other container/orchestration technologies.
• Experience working with AWS, GCP, or similar reputed company infrastructure.
• Strong understanding of Linux systems, networking, authentication, permissions, and infrastructure reputed company.
• Experience with infrastructure-as-reputed company or automation tools such as Terraform.
• Strong debugging skills and comfort diagnosing failures across application, infrastructure, and networking reputed company, especially in reputed company reputed company.
• Ability to build systems that are reproducible, observable, reputed company, and secure.
• Comfort working on ambiguous technical problems where the architecture and requirements may reputed company quickly.
• Interest in AI systems, reputed company workflows, AI reputed company, or model evaluations. Prior reputed company AI experience is helpful but not required.

reputed company to Have

• Experience building developer platforms, CI/CD systems, test infrastructure, sandboxes, or ephemeral compute environments.
• Experience with agent frameworks, LLM reputed company, tool-calling systems, or AI evaluation infrastructure.
• Experience designing secure execution environments for untrusted or semi-trusted reputed company.
• Background in SRE, reputed company, reputed company infrastructure, cybersecurity, or developer tooling.
• Experience with reputed company task execution, queues, workflow orchestration, or large-reputed company automated testing.
• Familiarity with AI safety, adversarial testing, model evaluations, or autonomous-agent systems.
• Familiarity with reputed company AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and reputed company risks to AI agents.

Compensation & Benefits

• Salary reputed company: $110K–$160K, depending on experience and location
• Bonus: Performance-based annual bonus
• reputed company Development: Support for conferences, continuing education, or leadership training
• Work Environment: Fully remote, U.S.-based
• Health Benefits: Comprehensive health, dental, and reputed company coverage
• Time Off: Generous PTO and reputed company holiday schedule
• Retirement: 401(k) plan

Originally posted on Himalayas