Senior Software Engineer - AI Oversight
New
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OpenMinedAI privacy infrastructure
Workable locations: Colombia. Brazil. Argentina. Uruguay, Working hours must overlap substantially with US Eastern business hours (your local time between one hour behind and two hours ahead of ET).ContractSenior
Salary77,000 - 109,000 USD per year
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Job Details
- Experience
- 5+ years of professional engineering experience
- Required Skills
- PythonKubernetesSoftware ArchitectureCI/CDTerraformDistributed Systems
Requirements
- Have 5+ years of professional engineering experience.
- Have strong Python skills and write clean, reliable, readable, well-tested code regularly.
- Understand software architecture, systems design, and engineering trade-offs.
- Have full-stack experience on at least one project, spanning backend, data, frontend, or deployment.
- Have experience with CI/CD, debugging complex systems, and cloud infrastructure.
- Be familiar with security, scalability, and reliability considerations.
- Be able to understand unfamiliar concepts quickly and turn them into practical solutions.
- Be comfortable collaborating and giving and receiving constructive feedback on a small, fully remote team.
- Preferred: experience with secure enclaves (TEEs), confidential computing, or other security work.
- Preferred: experience with distributed systems or deploying software into other organizations' environments.
- Preferred: Terraform, Kubernetes, Google Cloud, or AWS experience.
- Preferred: experience with AI safety, privacy-enhancing technologies, language models, open-source projects, developer products, or startups; Rust, Go, or C++ experience is also a plus.
- This is an independent contractor engagement with an initial 12-month term, roughly full-time commitment, and substantial overlap with US Eastern business hours.
Responsibilities
- Design, build, and ship core infrastructure for privacy-preserving AI evaluation, mostly in Python.
- Build and strengthen secure enclave (TEE) solutions.
- Extend PySyft, 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 product 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 while maintaining code quality.
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