Senior AI Engineer

About the Position

We are seeking a Senior AI Engineer with 6+ years of experience in AI initiatives to join our team in Toronto, Canada. The role involves designing and delivering scalable Gen AI solutions using Python, React, and AWS, leveraging modern architectures such as LLM pipelines, RAG, and agent-based systems.

Responsibilities

• Lead and 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.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize performance of AI products and 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.

Requirements

• 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.

We Offer

• Competitive salary.
• Opportunity to work with cutting-edge technologies.
• Professional development opportunities.
• Collaborative and innovative work environment.

About the Company

Luxoft is a global technology services company that specializes in delivering innovative solutions in the areas of AI, cloud, and digital transformation. We are committed to empowering our clients to achieve their business goals through technology.

Apply Now

If you are passionate about AI and have the required skills, we would love to hear from you. Apply now to join our team in Toronto, Canada.