AI Engineer at Level Access

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Data Analytics, Large Language Models, Data Preprocessing, Statistical Analysis, Deep Learning, Programming, Data Classification, Information Extraction, Model Performance, System Design, Security, Privacy, Ethics, Collaboration

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

The AI Engineer will clean, organize, and preprocess large datasets while designing and optimizing LLM-based services. They will collaborate with teams to align AI solutions with business objectives and advocate for security and ethics in AI outputs.