Posted 24 days ago
Senior AI Engineer
@ Astra North Infoteck Inc.
Toronto, Ontario
Overview
Astra North Infoteck Inc. is hiring a Senior AI Engineer on a contract basis in downtown Toronto, hybrid with 4 days a week in the office and an in-person interview required. The role leads and builds Generative AI products, LLM pipelines, agentic workflows and cloud-native AWS solutions, and acts as the organization's AI subject matter expert. The posting requires 10+ years of engineering experience.
Responsibilities:
- Lead development of AI products, pilots and enterprise solutions
- Design scalable Generative AI, LLM and agentic architectures
- Implement cloud-native solutions on AWS
- Optimize performance of production AI products
- Manage delivery using Agile practices
Requirements summary:
- 10+ years of progressive engineering experience
- 1 to 2 years leading emerging technology or enterprise AI initiatives
- Deep experience with LangChain, LlamaIndex, Amazon Bedrock and MCP
- Experience with vector and graph databases
- Proficiency in Python and Next.js, React, TypeScript
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-10-13
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 10+ years |
| Management experience | 1+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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 company's 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.
• 1–2 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 Next.js, React, and TypeScript/JavaScript.
• Testing & Analytics: Familiarity with automated AI and web testing frameworks (Ragas, Playwright, Zephyr, Selenium) and Business Intelligence tools (QuickSight, Tableau).
Journal
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