2 meilleures offres (senior software developer – devops, columbus) (à pourvoir)

Senior Full-Stack Engineer, AI Platform
Pairenthesis —Toronto, ON
- 29 $ de l’heure
- Temps partiel
- Travail hybride
- Bilingue
- Anglais
- SQL
Postuler rapidement
Senior Maximo Systems Developer-Integrator
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- Contrat
- Oracle
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- Bases de données
il y a 4 jours

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Senior Full-Stack Engineer, AI Platform

Pairenthesis
Toronto, ON

Postuler rapidement

Détails du poste

Temps partiel | Temps plein | Contrat

Compétences

Bilingue
Français
Node.js
Droit
React
Développement à pile complète
Anglais
Conception réactive
SQL
AWS
PostgreSQL
REST
Traitement du langage naturel
APIs
S3
GraphQL
Intelligence artificielle
Python

Description complète du poste

Pairenthesis | Toronto, ON (Hybrid) | Full-Time

About Pairenthesis

Pairenthesis is a governed data operations platform for organizations that must defend every number — government, financial services, healthcare, and critical infrastructure. Every figure is computed in a deterministic grounding gate before any AI model is invoked. We are deployed with federal and enterprise clients and scaling the engineering team.

About the Role

You will be the first senior engineering hire. You will own the full stack — from sovereign cloud infrastructure (AWS ca-central-1) to the deterministic grounding gate to the plain-language query engine that lets non-technical analysts ask questions without writing SQL or Python. You will work directly with the founders to ship production features for federal and enterprise clients.

This is not a role where you inherit a codebase and maintain it. You will architect, build, and deploy systems that process data for a federal government department. The bar is high. The surface area is wide. The impact is immediate.

What You'll Do

Design and build production features across the full stack: data ingestion, deterministic compute engine, query resolution, audit ledger, data analysis pipelines, and front-end interface
Extend the sovereign deployment architecture for new regulated clients across government and financial services
Build and optimize the Company Lexicon — a custom context layer per organization that compounds over time
Implement and maintain the immutable, hash-linked audit chain that records every computation
Ship bilingual (EN/FR) features for federal deployments
Collaborate directly with federal government stakeholders during client onboarding and production
Evaluate, integrate, and constrain AI models within the deterministic grounding gate — the AI narrates, it never fabricates

Basic Qualifications

5+ years of full-stack engineering experience in production environments
Strong backend: Python or Node.js, PostgreSQL or similar, REST/GraphQL APIs
Strong frontend: React or Vue, responsive design, component architecture
Experience deploying and managing production workloads on AWS (EC2, RDS, S3, Lambda, or equivalent)
Experience with at least one of: NLP/LLM integration, vector databases, data pipeline architecture, data analysis and visualization
Demonstrated ability to work autonomously in small teams with high ownership

Preferred Qualifications

AI/ML research background — publications, research assistantships, or applied ML in production
Experience with deterministic or rule-based systems alongside probabilistic models
Experience in regulated industries: government, healthcare, financial services, defense
Familiarity with compliance and security frameworks (SOC 2, FedRAMP, PIPEDA)
Bilingual English/French (an asset for federal deployments, not required for this role)
Previous experience as an early-stage hire (Series A/B or pre-seed/seed)

Why This Role

You will not be employee #47 building a feature nobody uses. You are building the compute layer that a federal government department relies on to make decisions. Your code will be audited, your architecture will be stress-tested by procurement officers, and your grounding gate will be the reason a CDO trusts the platform. If you want to build infrastructure that matters, this is the role.

Apply now.

Pay: $29.00 per hour

Work Location: Hybrid remote in Toronto, ON (Toronto District)

Postuler rapidement

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