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Senior AI Engineer

Astra North Infoteck Inc.

Job Location:

Toronto - Canada

Monthly Salary: K 10 - 10

Experience Required: 5years

Posted: 15 October 2026 (7 days ago)

Application Deadline: 12 January 2027

Vacancies: 1 Vacancy

Job Summary

Senior AI Engineer

Toronto Downtown ON - Hybrid (4 Days WFO)

In Person Interview Required

Key Responsibilities

AI Product Delivery: Lead and actively contribute to the development of AI products pilots and enterprise solutions with a focus on writing clean maintainable code.

Architecture & Design: Design and architect scalable Generative AI solutions including LLM pipelines Agentic workflows Model Context Protocol (MCP) Graph/RAG architectures and complex prompt-based applications.

Cloud Infrastructure: Implement highly scalable cloud-native solutions leveraging modern AWS services.

Optimization & Innovation: Optimize the performance of production AI products. Drive continuous learning and experimentation with cutting-edge Gen AI methods frameworks APIs and emerging toolchains.

Cross-Functional Collaboration: Partner closely with Product Managers Data Scientists and domain experts to translate business requirements into robust technical solutions.

Technical Leadership: Act as an organization-wide Subject Matter Expert (SME) on Gen AI technologies to help shape the companys long-term AI strategy and technical roadmap.

Project Ownership: Manage timelines deliverables and project milestones using Agile practices (Scrum/Kanban) to ensure reliable end-to-end product delivery.

Operations & Governance: Monitor operational metrics and incident data to improve system reliability. Ensure strict adherence to corporate governance and DevSecOps protocols.

Required Experience & Skills

Technical Expertise

10 years of progressive engineering experience. - DO NOT SUBMIT LESS THEN 10 YRS EXP.

12 years of direct experience leading emerging technology or enterprise AI initiatives.

Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and DevSecOps protocols.

Generative AI & LLMs: Core proficiency with commercial and open-source models (GPT Claude Gemini LLaMA) advanced prompt engineering and LLM fine-tuning techniques.

AI Frameworks & Architectures: Deep hands-on experience with LangChain LlamaIndex Amazon Bedrock Agentic AI MCP and Graph/RAG architectures.

Databases & Orchestration: Proven experience with Vector and Graph databases (Weaviate Milvus PGVector Neo4J Neptune) query optimization and ETL orchestration using Apache Airflow/DAGs.

Cloud & DevOps (AWS): Comprehensive knowledge of AWS infrastructure including computation (EKS Fargate Lambda EC2) networking/load balancing (ELB GLB NLB) data analytics (Athena Glue Lake Formation) and Infrastructure as Code (Terraform Puppet Docker).

Full-Stack Development: Strong proficiency in Python (NumPy Pandas Matplotlib Boto3) alongside modern web application development using React and TypeScript/JavaScript.

Testing & Analytics: Familiarity with automated AI and web testing frameworks (Ragas Playwright Zephyr Selenium) and Business Intelligence tools (QuickSight Tableau).

Required Skills:

Java

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