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18 часов назад

Senior AI/ML Engineer (Generative AI)

120 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI/ML Engineer (Generative AI): Designing, developing, and deploying production-grade machine learning, GenAI, and Agentic AI solutions across business domains with an accent on scalable cloud-native systems, MLOps, and responsible AI. Focus on building RAG and agentic workflows, operationalizing end-to-end AI/ML pipelines, and evaluating emerging AI technologies for enterprise adoption.

Location: Remote in Minnesota, United States

Salary: $120,000–$150,000 per year

Company

hirify.global supports organizational initiatives through an AI Center of Excellence and cross-functional technology teams.

What you will do

  • Design, develop, and deploy production-grade machine learning models for diverse business use cases.
  • Build and operationalize Generative AI and Agentic AI solutions, including Retrieval-Augmented Generation workflows.
  • Design, maintain, and optimize end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring.
  • Integrate cloud-native and third-party AI SaaS solutions and ensure that systems are scalable, dependable, secure, and cost-effective.
  • Evaluate emerging technologies such as Model Context Protocol, Agent-to-Agent protocols, and low-code AI platforms.
  • Partner with data scientists, architects, product managers, business stakeholders, and technical teams while mentoring teams adopting AI.

Requirements

  • 5+ years of experience designing and deploying ML/AI solutions, or 8+ years of software engineering experience including 3+ years in AI/ML.
  • Bachelor’s degree in computer science, information technology, engineering, or a related field, or equivalent experience and education.
  • Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with cloud platforms and services including AWS SageMaker, Lambda, ECS, S3, and IAM.
  • Knowledge of data engineering, SQL, feature engineering, MLOps, CI/CD for ML, model monitoring, versioning, Docker, and orchestration tools.
  • Proven experience with LLMs, prompt engineering, vector databases, RAG, and fine-tuning.

Nice to have

  • Master’s or PhD in a related technical field.
  • Hands-on experience with Agentic AI frameworks.
  • Open-source AI/ML contributions, published research, or cloud-provider AI/ML certifications.
  • Experience in highly regulated industries such as healthcare or finance.

Culture & Benefits

  • Regular, full-time employment with medical, dental, vision, life, disability, accident, and critical illness benefits.
  • Well-being, legal, identity theft, and pet benefits are available to eligible employees.
  • Retirement plans, paid time off, holidays, leave, and incentive plans are offered to eligible employees.
  • Average schedule of 40 hours per week with no domestic travel required.

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