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Globalization Partners

Employer of record for global hiring

Staff AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in India

About the Job

Requirements

  • At least 8 years of experience building and shipping machine learning systems, with a record of technical leadership on production work.
  • Strong Python skills and ability to write clean, maintainable, production-ready code, with ownership of services from first commit through production support.
  • Deep hands-on experience with machine learning and natural language processing, including deep learning and modern large language models.
  • Experience designing evaluation frameworks and metrics, and monitoring deployed models to keep them reliable.
  • Strong foundations in statistics, probability, and linear algebra.
  • Experience building and running machine learning services at scale with Docker and AWS, including serverless.
  • A history of making architectural and technical decisions adopted by others, and leading projects without formal authority.
  • Experience mentoring engineers and improving how a team builds.
  • Comfort with ambiguous, open-ended problems.
  • Excellent communication skills with technical and non-technical audiences.
  • A Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field, or equivalent practical experience.

Responsibilities

  • Design and build production large language model and natural language processing systems, data pipelines, and machine learning services; guide core components from prototyping through production deployment and ongoing oversight.
  • Build evaluation, monitoring, and traceability systems that detect failures such as hallucinations, explain why the system produced an answer, and keep a human in the loop where appropriate.
  • Define architecture and engineering standards for AI systems, make decisions on models and build-versus-buy trade-offs, and balance accuracy, cost, and speed; explain the reasoning to engineers and leadership.
  • Work with product, customers, and domain experts to identify suitable AI solutions for ambiguous compliance and human resources problems, frame the work, and drive it through delivery.
  • Lead design reviews and code reviews, write design documents, and mentor engineers at every level.
  • Build shared evaluation tooling, deployment pipelines, and data practices that help projects ship faster and more safely.
  • Track developments in large language models and applied machine learning, run focused experiments, and turn promising approaches into product capabilities.
  • Partner with product, engineering, and leadership, and communicate complex technical trade-offs to non-technical colleagues.

Desired Qualifications

  • Experience using large language models for non-conversational work such as extraction, classification, structured outputs, and reasoning over documents.
  • Background in compliance, human resources technology, regulatory, or other sensitive, audit-heavy domains.
  • Experience with explainability and human-in-the-loop design.
  • Experience with Terraform or other infrastructure as code.
  • Experience helping shape hiring, onboarding, and development of AI engineers.

About the Company

Globalization Partners

Employer of record for global hiring

Globalization Partners helps businesses expand into other countries by acting as the legal employer of record for international staff. It handles all paperwork, payroll, benefits, and local compliance, so companies can hire in new markets without setting up local entities. The product works by placing the client’s international employees on Globalization Partners’ payroll and benefits system, while the client maintains control over work, tasks, and HR policies. This differentiates them from competitors by offering end-to-end international employment management across many countries, reducing risk and administrative burden for the client. The company’s goal is to enable rapid, compliant, and scalable global growth for organizations of any size by removing the legal and payroll complexities of international hiring.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$350M
Headquarters
Boston, MA
Founded
2012

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