Freelance Mechanical CFD Engineer training AI agents on fluid simulations. Building verified solutions and Python checks for a global technology platform.
About the role
- Associate AI Engineer developing and deploying AI solutions to optimize global operations for Manulife. Collaborating with cross-functional teams to enhance operational efficiency.
Responsibilities
- Leverage and integrate advanced AI models, such as large language models (LLMs) and Agentic AI, to solve complex business problems and enhance operational efficiency
- Partner with business stakeholders and other engineers to gather requirements and build/integrate AI solutions smoothly with existing systems
- Design & collaborate with Data engineers on complex content extraction and chunk/loading to vector stores
- Work with data engineers to establish high-quality data pipelines that ensure efficient data processing for AI applications
- Regularly assess and enhance AI models and systems for optimal performance, accuracy, and reliability
- Advocate for and apply responsible AI practices and rigorous testing methodologies
- Keep up with the latest AI technologies and research, incorporating new methodologies to enhance our solutions
- Actively learn from senior engineers and contribute to a collaborative, innovative team environment
- Implement efficient human feedback loops to refine and improve AI actioning solutions
Requirements
- At least 3 years of experience in AI engineering with a proven track record of successfully building and deploying AI solutions
- Familiarity with AI frameworks and libraries such as LangChain, LangGraph, or OpenAI SDK
- Strong Python programming language skills
- Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered
- Strong skills in prompt engineering and indexing/retrieval techniques (preferred)
- Strong skills in developing production grade AI code, building APIs with best practices and integrate with UI (preferred)
- Experience with distributed computing frameworks and cloud platforms like AWS, Azure, or Google Cloud (preferred)
- Foundational knowledge of machine learning algorithms and experience in applying pre-built models (preferred)
- Understanding of data engineering principles, including data pipelines and ETL processes (preferred)
- Exceptional problem-solving skills with the capacity to tackle complex technical challenges (preferred)
- Excellent communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders (preferred)
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
- financial education and counseling resources
- generous paid time off program in Canada, including holidays, vacation, personal, and sick days
- full range of statutory leaves of absence
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