Postuler

Publié il y a 9 jours

AI Engineer

@ Smart IT Frame LLC

Mississauga, Ontario

Temps plein
Postuler
SIGNAUX

Responsabilités :

  • Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
  • Develop REST APIs and scalable enterprise solutions.
  • Build AI-powered data analytics and self-service platforms.
  • Optimize data pipelines for performance and scalability.
  • Collaborate with Risk stakeholders to deliver AI-driven solutions.
  • Provide technical leadership, architecture guidance, and mentor engineering teams.

Résumé des exigences :

  • Experience: 8+ Years
  • Required Skills
  • Experience building production-grade AI/LLM applications.
  • Experience with testing, production support, and system reliability.
  • Bachelor's/Master's in Computer Science or equivalent.
  • 8+ years of software engineering experience
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-02
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

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

Smart IT Frame LLC

ChampValeur
Offres sur Jobsy10
Description

Position : AI Engineer

Location : Mississauga, Canada (Onsite)

Duration : Full time

Experience: 8+ Years

Key Responsibilities

  • Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
  • Develop REST APIs and scalable enterprise solutions.
  • Build AI-powered data analytics and self-service platforms.
  • Optimize data pipelines for performance and scalability.
  • Collaborate with Risk stakeholders to deliver AI-driven solutions.
  • Provide technical leadership, architecture guidance, and mentor engineering teams.

Required Skills

  • Strong Python development with FastAPI or Flask.
  • Experience building production-grade AI/LLM applications.
  • Solid SQL, data modeling, and data engineering fundamentals.
  • Expertise in concurrency, asynchronous programming, and performance optimization.
  • Experience with testing, production support, and system reliability.
  • Strong architectural design and technical leadership skills.

Preferred Skills

  • Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions.
  • Docker, Kubernetes, Kafka, Redis.
  • OpenTelemetry, Grafana, Prometheus.
  • CI/CD (Jenkins, GitHub Actions), DevOps/GitOps.

Qualifications

  • Bachelor's/Master's in Computer Science or equivalent.
  • 8+ years of software engineering experience

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