Senior AI/ML Engineer

Globali; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Globali.ai in San Francisco is seeking a Senior AI/ML Engineer to build the intelligence layer that evaluates immigration pathways across countries and visa categories. You will develop production systems that combine rules, retrieval, machine learning, large language models, and expert feedback.

Your work will help Globali produce transparent, defensible, and actionable immigration feasibility assessments before companies invest in interviews, offers, and relocation planning.

Qualifications

• 5+ years of professional software or ML engineering.
• Experience with production ML/AI systems.
• Experience with regulated or sensitive data.

Responsibilities

• Design AI systems evaluating immigration eligibility across visa categories.
• Build retrieval-augmented generation pipelines grounded in policy sources.
• Create explanation layers and confidence scoring for feasibility assessments.
• Collaborate with immigration attorneys and experts to encode domain knowledge.

Skills

Python

Production ML Systems

LLMs & Retrieval

APIs & Data Pipelines

Cloud Infrastructure

Tools

Knowledge Graphs

Rule Engines

Document Intelligence

Job description

Globali.ai is building immigration infrastructure for global hiring. The platform helps enterprises evaluate visa feasibility before interviews begin, automate immigration case preparation, identify compliance risks, and route matters through lawyer-supervised review. Globali combines predictive eligibility intelligence, workflow automation, policy monitoring, secure document handling, and expert validation to help organizations hire international talent with greater speed, clarity, and confidence.

About the Role

Globali.ai is seeking a Senior AI/ML Engineer to build and improve the intelligence layer that evaluates immigration pathways across countries, visa categories, candidate profiles, and employer scenarios. You will develop production systems that combine structured rules, retrieval, machine learning, large language models, and expert feedback. Your work will help Globali produce transparent, defensible, and actionable immigration feasibility assessments before companies invest in interviews, offers, and relocation planning.

Responsibilities

• Design and develop AI systems that evaluate candidate eligibility across visa categories and hiring destinations.
• Build structured decisioning pipelines combining immigration rules, employer data, candidate profiles, policy updates, and historical outcomes.
• Develop retrieval-augmented generation systems grounded in authoritative legal and policy sources.
• Create confidence scoring, evidence tracing, and explanation layers for visa-feasibility recommendations.
• Build evaluation frameworks for factual accuracy, consistency, completeness, risk detection, and human-review quality.
• Partner with immigration attorneys and subject-matter experts to encode domain knowledge and validate model behavior.
• Develop automated checks for contradictions, missing evidence, document inconsistencies, and filing risks.
• Improve model latency, reliability, observability, and cost efficiency in production.
• Establish safeguards that prevent unsupported legal conclusions and preserve attorney oversight.
• Contribute to policy-monitoring and workforce-impact intelligence systems.

Required Qualifications

• 5 or more years of professional software or machine-learning engineering experience.
• Strong proficiency in Python and production ML or AI systems.
• Experience building applications with large language models, retrieval systems, structured outputs, or tool-calling workflows.
• Experience designing evaluation pipelines for hallucination risk, consistency, and model regression.
• Strong understanding of APIs, data pipelines, event-driven systems, and cloud infrastructure.
• Experience working with sensitive or regulated data.
• Ability to translate complex domain rules into maintainable technical systems.

Preferred Qualifications

• Experience in legal technology, compliance technology, HR technology, or global mobility.
• Familiarity with H-1B, L-1, O-1, Express Entry, EU Blue Card, LMIA, or employer-sponsored pathways.
• Experience with knowledge graphs, rule engines, document intelligence, or case-management systems.
• Experience with human-in-the-loop review and expert-feedback systems.
• Familiarity with responsible AI, model governance, and auditability requirements.

What Success Looks Like

• Eligibility assessments become more accurate, explainable, and consistent.
• Enterprise users understand why a pathway is viable, uncertain, or high risk.
• Attorneys review AI-generated assessments efficiently without losing control of legal judgment.
• Policy changes are incorporated quickly and safely.
• New countries and visa categories can be added without rebuilding the platform.

Why Join Globali.ai

• Build AI that directly affects global talent access and workforce mobility.
• Work on a high-impact problem combining law, data, automation, and enterprise software.
• Help define standards for lawyer-supervised immigration intelligence.
• Take meaningful ownership over product architecture and customer outcomes.

Globali.ai is an equal opportunity employer.