AI Engineer, Product Analytics — Production AI Agents

PowerToFly

Toronto

Ibrido

CAD 82.000 - 132.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Hybrid Work Model
Flexible vacation
Mental Health Days

Descrizione del lavoro

PowerToFly is hiring an AI Engineer, Product Analytics to build AI agents for our Tax, Audit & Accounting analytics portfolio. You will translate pre-trained models and LLM APIs into reliable tooling, working within existing repositories, standards, and evaluation practices.

You will own production-ready components, contribute to data pipelines, and collaborate with product and engineering teams to interpret business needs into agent designs. Hybrid work is offered.

Competenze

  • Bachelor's degree in Computer Science, Data Science, or related field.
  • 3+ years in software/data/analytics with exposure to LLM-based agents or AI-native systems.
  • Proficiency in Python and SQL; strong fundamentals in SDLC and testing.
  • Experience refactoring experimental code into production-ready components.

Mansioni

  • Build and integrate AI components using pre-trained models, LLM APIs, and tool-calling into analytics products.
  • Refactor prototypes into production tooling with error handling, telemetry, and logging.
  • Develop and maintain data pipelines feeding AI agents and surface data models for reasoning.
  • Work within shared repositories and standards; document and register shipped components.

Conoscenze

Python
SQL
LLM experience
Communication
AI tooling

Formazione

Bachelor's degree in CS/Data Science

Strumenti

Snowflake
Databricks
Docker
Vector databases
Cloud platforms

Descrizione del lavoro

PowerToFly is hiring an AI Engineer, Product Analytics to build AI agents for our Tax, Audit & Accounting analytics portfolio. You will translate pre-trained models and LLM APIs into reliable tooling, working within existing repositories, standards, and evaluation practices.

You will own production-ready components, contribute to data pipelines, and collaborate with product and engineering teams to interpret business needs into agent designs. Hybrid work is offered.

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