AI Engineer

Valiant Technologies LLC; Toronto; On-site; CAD 150,000 - 210,000; Full time

Job summary

Valiant Technologies LLC is seeking a senior AI engineering leader to drive development of scalable Gen AI products and cloud-native solutions in an Agile environment. You will design LLM pipelines, Architect Graph/RAG solutions, and lead end-to-end delivery with a strong emphasis on code quality and governance.

You will collaborate with product managers, data scientists, and domain experts, mentor teams, and shape the AI roadmap while ensuring DevSecOps compliance and reliable operations across

Qualifications

• 8+ years of total experience in engineering roles with 1–2 years leading AI initiatives.
• Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering.
• Experience with Agentic AI, MCP, Graph/RAG architectures.
• Experience with LangChain, LlamaIndex, and Amazon Bedrock.
• Strong knowledge of AWS services (EC2, EKS, Lambda, Fargate, Glue, Athena).
• Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
• ETL orchestration with Apache Airflow; vector/graph databases experience helpful.
• Advanced Python (NumPy, Pandas, Matplotlib, Boto3) and testing frameworks.
• Familiarity with SDLC, DevSecOps, Agile practices; BI tools knowledge a plus.
• LLM fine-tuning knowledge; enterprise data systems and financial market awareness.

Responsibilities

• Lead and actively contribute to the development of AI products, pilots, and solutions with clean, maintainable code.
• Design, architect, and build scalable Gen AI solutions including LLM pipelines and Graph/RAG architectures.
• Implement cloud-native solutions using AWS services (EKS, Lambda, Fargate, Glue, Athena).
• Optimize performance, drive continuous learning, and experiment with Gen AI methods and toolchains.
• Collaborate with product managers, data scientists, and domain experts to align with business needs.
• Serve as SME on Gen AI technologies and help shape the organization’s AI roadmap.
• Own end-to-end delivery of Gen AI solutions with Agile practices and milestone management.
• Monitor operational metrics and incidents to drive reliability and continuous improvement.
• Ensure governance and DevSecOps compliance across projects.

Skills

Gen AI models

Prompt engineering

AI architecture leadership

Agile/Scrum/Kanban

Python

Cloud-native development

Team leadership

Education

Bachelor's or Master's degree in Computer Science/Engineering/Mathematics

Tools

Terraform

Docker

Kubernetes (EKS)

Puppet

Apache Airflow

Job description

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.

Experience and Skills:

• 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.
• 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.

Education:

• Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.

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.