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AI Engineer

Alta Technology Group

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 Skills
  • Problem Solving
  • Communication
  • Collaboration

About the company

Alta Technology Group logo

Alta Technology Group

IT Services & IT Consulting

Better talent. Faster hires. When you need to hire, whether it’s for a contractor, contract to hire or a full-time addition to your team, you want the right candidate, fast. At Alta Technology Group, we put talented people to work at many of the area’s leading employers. At Alta Technology Group, we provide the people you need, when you need them. Our Services: Staff Augmentation From short term fill-ins to long-term project staff, Alta Technology Group provides temporary employees with the skills and experience you require. Whether you are looking to extend your team’s resources or free key personnel to focus on more critical projects, Alta Technology Group can supply you with the right resource to achieve your goals. Contract-to-Hire Make your next hire with confidence. With our contract-to-hire services, you can try out a new employee on the job before committing to a full-time hiring decision. During the trial period, the new employee works as an Alta Technology Group temporary employee, and at the end of the assignment, if you like the person, you can convert that individual to your staff at no additional cost. Direct Hire Shorten your search for top talent. Alta Technology Group will take 100% responsibility for finding the candidates you want to hire. You don’t pay us anything until you hire a candidate we refer. As your recruiting partner we will manage all aspects of the hiring process, including: •Developing the job description •Profiling your ideal candidate •Creating a sourcing strategy •Recruiting candidates •Completing telephone screens and in person interviews •Administering assessment tests •Completing background screening •Conducting reference checks •Development and presentation of job offers

Company details

Company typeScaleup
IndustryIT Services & IT Consulting
Company size11 - 50

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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Marcus Rivera

Chief Revenue Officer

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