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AI Engineer

RAZOR

Role overview

Qualifications

  • 5+ years of experience in software engineering, machine learning engineering, or a related technical role.
  • 3+ years of experience in Python and software development best practices.
  • 3+ years of experience with generative AI and large language models.
  • Familiarity with APIs, cloud platforms, databases, version control, testing, and CI/CD.

Responsibilities

  • Design, build, test, and deploy AI and machine learning applications.
  • Develop solutions using large language models, retrieval-augmented generation (RAG), agents, embeddings, and prompt engineering.
  • Integrate AI capabilities into existing products, platforms, and business workflows.
  • Build data pipelines and supporting services for model training, evaluation, and inference.

Key facts

Hard skills

Other skills

  • Analytical Thinking
  • Problem Solving
  • Communication
  • Collaboration

About the company

RAZOR logo

RAZOR

Staffing & Recruiting

RAZOR is a women-owned small business (WOSB) specializing in human-centric solutions customized for the IT and healthcare sectors. We are dedicated to comprehensively understanding the distinctive requirements of clients within these industries and delivering solutions that emphasize both technical proficiency and compassionate care. Our services encompass resource management and technology consulting, catering to clients in both federal and state government as well as the commercial sector.

Company details

IndustryStaffing & Recruiting
Company size51 - 200

Links

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Job description

Razor is seeking an AI/ML Engineer to design, develop, and deploy intelligent systems that solve meaningful business and customer problems. This role collaborates with software engineers, product managers, data scientists, and subject-matter experts to build reliable, scalable, and production-ready AI solutions. The ideal candidate combines strong software engineering fundamentals with practical experience in machine learning, generative AI, large language models, and data-driven product development.

Education & Certification Requirements: Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field preferred. Equivalent combination of education and experience may be considered.

Clearance Requirements: Ability to obtain a medium level Government Public Trust Security background check will be required.
Responsibilities:
  • Design, build, test, and deploy AI and machine learning applications.
  • Develop solutions using large language models, retrieval-augmented generation (RAG), agents, embeddings, and prompt engineering.
  • Integrate AI capabilities into existing products, platforms, and business workflows.
  • Build data pipelines and supporting services for model training, evaluation, and inference.
  • Establish evaluation frameworks to measure accuracy, reliability, safety, latency, and cost.
  • Monitor and improve AI systems in production environments.
  • Implement responsible AI practices, including privacy, security, bias mitigation, and human oversight.
  • Document architecture, technical decisions, experiments, and operational procedures.
  • Stay current with developments in AI research, tools, platforms, and engineering best practices.
Qualifications:
  • 5+ years of experience in software engineering, machine learning engineering, or a related technical role.
  • 3+ years of experience in Python and software development best practices.
  • 3+ years of experience with generative AI and large language models.
  • Familiarity with APIs, cloud platforms, databases, version control, testing, and CI/CD.
  • Experience with AWS Bedrock.
  • Experience with Artificial Intelligence Optical Character Recognition (OCR).
  • Experience with Docker.
  • Experience with Amazon SageMaker.
  • Experience with JupyterLab.
  • Understanding of machine learning concepts, model evaluation, and data preparation.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Desired Skills:
  • Familiarity with Salesforce and MuleSoft.
  • Experience with generative AI and large language models.
  • Experience with frameworks such as PyTorch, TensorFlow, LangChain, or similar tools.
  • Experience with vector databases and retrieval systems.
  • Experience with MLOps, model monitoring, and scalable inference systems.
  • Knowledge of responsible AI, data privacy, and AI security practices.
  • Experience delivering AI solutions from prototype through production.
Razor is an EEO Employer
Razor is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Razor Benefits Overview
Razor offers a comprehensive benefits package designed to support the health, well-being, and financial security of our employees. Benefits may include medical, dental, and vision coverage, a 401(k) retirement plan with company match, paid time off, company holidays, and opportunities for professional growth and development..

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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