Senior Software Engineer – AI Oversight

OpenMined

. Design, build, and ship core infrastructure for privacy-preserving AI evaluation, mostly in Python .

Posted 11/3/2026contractRemote • Colombia, Brazil, Argentina, UruguaySenior💰 $77,000 - $109,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and software architecture, with a strong focus on building secure and reliable AI evaluation infrastructure. Proven ability to communicate complex technical concepts clearly and collaborate effectively in a remote team environment.

Highest-signal resume keywords

Python ProgrammingSoftware ArchitectureCI/CD ExperienceSecure Enclaves (TEEs)Cloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clean Code WritingSystems DesignDebugging Complex SystemsFull-Stack DevelopmentReliability Engineering

Soft Skills

Strong CommunicationCollaborativeAdaptableConstructive Feedback

Tools & Technologies

TerraformKubernetesGoogle CloudAWSPySyft

Industry Keywords

Privacy-Preserving AIConfidential ComputingDistributed SystemsAI SafetyOpen-Source Contributions

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsKubernetesPythonRustTerraformC++Go

About the role

Key responsibilities & impact

Design, build, and ship core infrastructure for privacy-preserving AI evaluation, mostly in Python
Build and strengthen secure enclave (TEE) solutions
Extend PySyft, the open-source library, including workers and verified receipts
Deploy and support software in partner environments, including frontier labs, evaluators, and governments
Improve deployment reliability as the product expands from one production deployment to several
Improve reliability, scale, and user experience
Write clean, tested, readable code and review teammates' work
Turn ambiguous requirements into clear designs and explain trade-offs to engineers and non-engineers
Use AI coding tools to move quickly while maintaining quality
Work closely with the Technical Lead Manager for AI Oversight
Work directly with organizations to deploy software while keeping their data private and under their control

Requirements

What you’ll need

5+ years of professional engineering experience, with strong Python skills
Excellent hands-on coding: write clean, reliable, readable, and well-tested code daily
Strong understanding of software architecture, systems design, and engineering trade-offs
Strong communication skills, including clearly and concisely explaining technical ideas, timelines, risks, and trade-offs
Full-stack experience on at least one project, including backend, data, frontend, and deployment
Experience with CI/CD, debugging complex systems, and cloud infrastructure
Familiarity with security, scalability, and reliability considerations
Ability to quickly understand unfamiliar concepts and turn them into practical solutions
Collaborative, adaptable, and comfortable giving and receiving constructive feedback on a small, fully remote team
Preferred: secure enclaves (TEEs), confidential computing, or other security work
Preferred: distributed systems
Preferred: deploying software into other organizations' environments
Preferred: Terraform, Kubernetes, and cloud platforms such as Google Cloud or AWS
Preferred: AI safety, privacy-enhancing technologies, or language models
Preferred: open-source contributions
Preferred: building products for developers
Preferred: startup experience
Preferred: Rust, Go, or C++ for performance-critical work
Ability to work hours overlapping substantially with US Eastern business hours, with local time between one hour behind and two hours ahead of ET

Benefits

Comp & perks

Mission-Driven Work: Be part of a 501(c)(3) nonprofit organization, focused on social impact rather than profit, offering the chance to make a meaningful difference in the world.
Open Source Contribution: Make a real impact by contributing to an Open Source project that benefits a broad community.
Collaborative Global Team: Join a dynamic, international team that values collaboration and diversity.
Flexible Work Hours: Enjoy the autonomy to structure your work hours around what best fits your life and productivity.
Fully Remote Work: Work remotely within the location requirements for this role.