Sr AI Engineer
About the role
Pay Range: CAD 70-80/hr
- 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, and prompt-based applications and emerging tech.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize performance of AI products, Drive 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. Manage 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, DevSecOps protocols. Experience/Skiils:
- 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
- Agentic AI, MCP, and Graph/RAG architectures
- Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
- Web application development using Next.js, React, TypeScript/JavaScript
- AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
- Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
- ETL orchestration using Apache Airflow/DAGs
- Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization
- Python programming (NumPy, Pandas, Matplotlib, Boto3)
- Automated testing frameworks (Ragas, Playwright, Zephyr, 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 in BI tools like QuickSight, Tableau
- Knowledge of financial markets and enterprise data systems
Not the right fit? Search for AI Engineer jobs in Toronto, Ontario, Canada
About LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.
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Sr AI Engineer
About the role
Pay Range: CAD 70-80/hr
- 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, and prompt-based applications and emerging tech.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize performance of AI products, Drive 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. Manage 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, DevSecOps protocols. Experience/Skiils:
- 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
- Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
- Agentic AI, MCP, and Graph/RAG architectures
- Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
- Web application development using Next.js, React, TypeScript/JavaScript
- AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
- Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
- ETL orchestration using Apache Airflow/DAGs
- Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization
- Python programming (NumPy, Pandas, Matplotlib, Boto3)
- Automated testing frameworks (Ragas, Playwright, Zephyr, 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 in BI tools like QuickSight, Tableau
- Knowledge of financial markets and enterprise data systems
Not the right fit? Search for AI Engineer jobs in Toronto, Ontario, Canada
About LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.