Lead AI Engineer
New
E
EmpiricalSoftware engineering
Latin America (Remote), Enough timezone overlap for daily collaboration with a U.S.-based engineering team.Full-TimeLead
Salary not disclosed
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Job Details
- Languages
- Excellent communication skills in English (written and spoken).
- Experience
- 10+ years in software engineering
- Required Skills
- Microsoft AzureCI/CDSoftware Engineering
Requirements
- Have 10+ years of experience in software engineering.
- Bring deep CI/CD and platform experience, including building pipelines other engineers depend on.
- Demonstrate strong hands-on engineering ability and be able to read and assess code.
- Apply security principles including least privilege, credential scope, blast radius, and handling untrusted input.
- Use sound testing judgment, including evaluating test-suite reliability and measuring flake rates.
- Have hands-on experience using coding agents on real work and a clear understanding of their strengths and failure modes.
- Be comfortable working across functions with SRE, security, legal, and support teams.
- Be willing and able to write conventions, procedures, incident records, and rationales for rules.
- Have excellent written and spoken English communication skills.
- Be based in Latin America and have enough timezone overlap for daily collaboration with a U.S.-based engineering team.
- Nice to have: experience with Microsoft Azure and cloud-based infrastructure.
- Nice to have: familiarity with Microsoft Entra ID and identity and access management.
- Nice to have: experience building integrations with Microsoft Outlook and other Microsoft 365 services.
Responsibilities
- Own project conventions, reusable agent procedures, source indexing, and their enforcement.
- Build verification gates that inspect artifacts and protect tests and CI configuration.
- Design least-privilege, short-lived agent credentials and commit attribution linking people, agents, and tasks.
- Calibrate autonomy tiers according to reversibility and incident history.
- Engineer circuit breakers, workflow limits, progressive exposure, and rollback.
- Own request intake, deduplication, routing, gate logs, and an evaluation harness.
- Maintain dated incident records, set thresholds for turning patterns into rules, and review the cost and effectiveness of each rule.
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