AI Engineer

Staff augmentation company connecting Latin American talent with US clients, focusing on remote work and cultural values.
Machine Learning
Senior Software Engineer
Remote
9+ years of experience
AI · Enterprise SaaS

Description For AI Engineer

Join Nearsure, a dynamic staff augmentation company connecting top Latin American talent with US clients. As an AI Engineer, you'll be at the forefront of designing and implementing cutting-edge AI solutions using machine learning algorithms and large-scale data infrastructures. Working in a 100% remote environment, you'll collaborate with cross-functional teams to develop scalable, AI-driven products while leveraging cloud computing and emerging AI technologies.

The role offers a comprehensive benefits package including USD salary compensation, flexible work arrangements, paid time off, and various perks to ensure work-life balance. You'll be part of a culture that values autonomous work, honest communication, and diversity, supported by a dedicated People Care team from day one.

The ideal candidate brings 9+ years of cloud computing experience, strong expertise in GCP, machine learning frameworks, and LLMs. You'll work on challenging projects, implementing responsible AI practices while maintaining effective communication with US clients. This position offers an excellent opportunity to expand your professional network, enhance your cross-cultural expertise, and work alongside top Latin American talent.

Join a company that prioritizes both technical excellence and personal growth, offering regular team building activities, tech talks, and a collaborative environment where micromanagement is replaced by trust and autonomy. Your expertise in AI technologies will be crucial in driving innovation and delivering impactful solutions to our clients.

Last updated 15 days ago

Responsibilities For AI Engineer

  • Design, develop, and optimize AI solutions using machine learning and large data frameworks
  • Build scalable AI products and infrastructure in cloud environments
  • Apply machine learning operations frameworks for model deployment and management
  • Stay current with emerging AI technologies and integrate them into solutions
  • Ensure responsible AI practices and address ethical considerations in AI systems
  • Collaborate with teams to align AI solutions with business needs and goals

Requirements For AI Engineer

Python
Kubernetes
  • Bachelor's Degree in Computer Science, Engineering, or related field
  • 9+ Years of experience working with Cloud Computing
  • 2+ Years of experience working with GCP (Console, Vertex AI & DialogFlow)
  • 2+ Years of experience working with Machine Learning (PyTorch/Tensorflow)
  • 1+ Years of experience working with LLMs
  • Experience with the development of AI products
  • Experience working with Open Source, Big Data and numerical programming frameworks
  • Advanced English Level

Benefits For AI Engineer

Medical Insurance
  • USD Salary compensation
  • 100% remote work
  • Paid time off
  • National holidays
  • Sick leave
  • Annual credit for perks
  • Team building activities
  • Birthday week day off

Interested in this job?

Jobs Related To Nearsure AI Engineer

AIML - Sr Quality Program Manager, Data Operations

Senior Engineering Program Manager position at Apple, focusing on data quality for AI/ML training, offering competitive salary and benefits.

AIML Sr SW Engineer - SystemRF

Senior AI/ML Engineer position at Apple, focusing on wireless systems optimization using machine learning and data analysis for product development.

AIML - ML Engineer, ML Systems and Evaluation Engineering Client Tools and Frameworks

Senior ML Engineer position at Apple focusing on ML systems evaluation and framework development for AI applications and Siri.

Multimodal Generative Modeling Engineer

Senior Machine Learning Engineer position at Apple focusing on multimodal generative AI models for image and video generation.

Machine Learning Research Engineer, Apple Intelligence, NLG

Senior Machine Learning Research Engineer position at Apple, focusing on text generation and NLP technologies for intelligent input experiences across Apple platforms.