AI Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Experience
- 8+ years of total experience, with 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Posting language
- English
- Posted
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The candidate will lead and actively contribute to the development of scalable Gen AI products, architectures, and cloud-native solutions within an Agile environment.
Responsibilities
- Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
- Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize performance of AI products, driving continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
- Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
- Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization s AI roadmap.
- Own end-to-end delivery of Gen AI solutions while managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
- Monitor operational metrics and incident data to drive continuous improvement and reliability.
- Ensure adherence to governance and DevSecOps protocols.
- 8+ years of total experience, with 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
- Experience with Agentic AI, MCP, and Graph/RAG architectures.
- Experience with Gen AI Frameworks such as LangChain, LlamaIndex, and Amazon Bedrock.
- Hands-on web application development experience using Next.js, React, and TypeScript/JavaScript.
- Strong knowledge of AWS cloud services including EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, and Lake Formation.
- Proficiency with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
- ETL orchestration experience using Apache Airflow and DAGs.
- Experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization.
- Advanced Python programming skills (NumPy, Pandas, Matplotlib, Boto3).
- Experience with automated testing frameworks such as Ragas, Playwright, Zephyr, and Selenium.
- Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
- Knowledge of LLM fine-tuning techniques.
- Experience with BI tools such as QuickSight and Tableau.
- Knowledge of financial markets and enterprise data systems.
- Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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More about this job
Responsibilities
Lead the design, development, and delivery of scalable generative AI products and cloud-native solutions, including LLM pipelines, agentic systems, and Graph/RAG architectures. Collaborate with product and domain teams, guide AI strategy, manage delivery using Agile practices, and improve performance, reliability, and governance.
Requirements
Requires 8+ years of total experience, including 6+ years in engineering and 1–2 years leading emerging technology or AI initiatives, with strong expertise in generative AI models, Python, web development, and AWS. Candidates should also have experience with AI frameworks, databases, ETL orchestration, testing, DevSecOps, Agile methods, financial markets, and a bachelor’s or master’s degree in a relevant field.
Skills
- Generative AI
- Python
- React
- TypeScript
- AWS
- LLM Pipelines
- Agentic AI
- MCP
- Graph/RAG Architectures
- LangChain
- Amazon Bedrock
- Terraform
- Apache Airflow
- Vector Databases
- DevSecOps
- Agile
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Finance & Accounting
Keywords
- Generative AI
- GPT
- Claude
- Gemini
- LLaMA
- Prompt Engineering
- Agentic AI
- MCP
- Graph/RAG
- LangChain
- LlamaIndex
- Amazon Bedrock
- Python
- React
- Next.js
- TypeScript
- AWS
- EKS
- Lambda
- Fargate
- Glue
- Athena
- Terraform
- Docker
- Apache Airflow
- Weaviate
- Milvus
- PGVector
- Neo4j
- Amazon Neptune