Software Engineer, Internship - Sovereign AI Systems
Palantir
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- Location
- New York, NY
- Work style
- On-site
- Job type
- Internship
- Posted
- Nov 5
- 1 day ago
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Career path
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About the company
Palantir
Computer software · 1,001 to 5,000 employees
What you'll do
- Build production software that improves how Palantir deploys, operates, evaluates, or monitors AI systems
- Contribute to infrastructure for agentic workflows
- Design and implement services, APIs, test harnesses, evaluation pipelines, or developer tools
- Work with engineers, product teams, and customer-facing teams to turn operational problems into software
- Debug issues across services, deployment systems, logs, configuration, permissions, and product behavior
- Write clear, maintainable code and participate in code review
- Communicate design decisions, tradeoffs, and results clearly to teammates
What you need
- Strong coding fundamentals
- Experience with AI systems
- Excited to learn quickly
- Communicate clearly
Key skills
coding fundamentalsAI systemscommunicate clearlymaintainable code
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The Role
As a Software Engineer Intern on Sovereign AI Infrastructure, you will help build the systems that make AI agents useful, reliable, and governable in high-stakes operational environments.
This is not a research-only internship. You’ll own a project with hands-on mentorship from experienced engineers, contributing to the systems that make production AI useful and trustworthy. That may mean working directly on agentic workflows, or on the layers they depend on: customer ontologies, context assembly, tool interfaces, agent identity or permissions, evaluations, and the core workflows that turn model outputs into real operational decisions.
We are looking for interns with strong coding fundamentals and experience with AI systems. You should be excited to learn quickly, communicate clearly, and build systems where correctness, reliability, and customer trust matter.
Core Responsibilities (may include)
Build production software that improves how Palantir deploys, operates, evaluates, or monitors AI systems in customer-controlled environments.
Contribute to infrastructure for agentic workflows, including tool use, context assembly, permissions, execution safety, observability, and debugging.
Design and implement services, APIs, test harnesses, evaluation pipelines, or developer tools that make AI systems easier to operate.
Work with engineers, product teams, and customer-facing teams to understand real operational problems and turn them into durable software.
Debug issues across services, deployment systems, logs, configuration, permissions, and product behavior.
Write clear, maintainable code and participate in code review with a high bar for quality.
Communicate your design decisions, tradeoffs, and results clearly to teammates.