End-to-End Digital Accessibility that empowers every user
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Level Access

AI Engineer

Posted 3 Hours Ago
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Remote
Hiring Remotely in Canada
Mid level
Easy Apply
Remote
Hiring Remotely in Canada
Mid level
The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.
The summary above was generated by AI

We are seeking a hard-working and motivated AI Engineer to join our team. The ideal candidate will work closely with Product and Engineering teams to innovate new techniques for applying Artificial Intelligence, Machine Learning, and data analytics to automate digital accessibility use cases in our commercial solution. This role will initially focus on Large Language Models (LLMs) and will expand over time to include other AI technologies.

Responsibilities
  • Clean, organize, and preprocess large, complex datasets, identify relevant data sources, and manage data quality to support AI capabilities within our products.
  • Design, develop, and optimize the architecture, implement scalable LLM-based services and appropriate ML algorithms and tools, and continuously improve model performance and efficiency.
  • Develop components, services, and modules for data classification, information extraction, and interpretation, and build optimized data pipelines.
  • Integrate and monitor LLM-based services into products with attention to latency, costs, security, safety, and reliability. Implement automated testing and gather feedback to improve prompting and results.
  • Use statistical analysis to interpret test results and understand model performance, particularly its problem-solving capabilities.
  • Collaborate with AI Engineers, software engineers, and product managers to align AI/ML solutions with business objectives and optimally communicate technical concepts and project updates to non-technical stakeholders.
  • Stay updated on the latest AI/ML developments, research, and tools, and evaluate emerging methodologies to implement innovative solutions.
  • Advocate for security, privacy, and ethics in AI/ML outputs, and participate in code reviews to ensure software engineering best practices.
Qualifications
  • Bachelor's degree in Data Science, Mathematics, Computer Science, or a related field.
  • 3+ years of experience with ML frameworks such as PyTorch, Dask, Spark, or TensorFlow.
  • Proficiency in programming with R, Python, SQL, or similar languages.
  • Experience with frameworks LangChain, LangFuse, LangGraph or similar.
  • Experience with LLM lifecycle management such as versioning, monitoring, and feedback loops.
  • Experience with Large Language Models (LLMs), Big Data, and NoSQL databases and building systems that utilize LLMs for AI
  • Experience using AI services from AWS, OpenAI, etc.
  • Strong knowledge of Deep Learning concepts.
  • Understanding of probability, statistics, and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability.
  • Shown ability to apply standard implementations of machine learning algorithms effectively.
  • Understanding of system design to avoid bottlenecks and ensure scalability with increasing data volumes.
  • Self-motivated and able to work independently in a dynamic environment.
Application Process

If you thrive in a fast-paced product development environment and are eager to make a significant impact in the field of accessibility, we would love to hear from you. This is a full-time salaried position with a competitive benefits package, including bonus opportunities and unlimited vacation/FTO. Salary is commensurate with experience.

Are you interested in immediate consideration? If so, please submit your resume to be considered for this role!

Level Access is committed to workforce diversity. Equal Opportunity Employer. Copyright 2025, Level Access. All rights reserved.

Top Skills

Artificial Intelligence
AWS
Dask
Langchain
Langfuse
Langgraph
Machine Learning
Openai
Python
PyTorch
R
Spark
SQL
TensorFlow

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