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Publié il y a 27 jours

Senior AI Engineer

@ Astra North Infoteck Inc.

Toutes ses offres

Toronto, Ontario

Contrat10+ ans d’expérience
Postuler
SIGNAUX

En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

AWSTerraformDockerApache AirflowNeo4JPlaywrightSeleniumTableauQuickSightPython
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-10-13
Première détection par notre source
2026-10-14
Mise à jour du dossier source
2026-10-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience10 an(s) et plus
Expérience en gestion1 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Astra North Infoteck Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy422
Description

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).


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