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9 часов назад

Senior AI Developer (LLM)

136 800 - 205 200CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/India/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Developer (LLM): Building and operating cloud infrastructure, deployment systems, and supporting services for production multimodal models and reasoning agents with an accent on model serving, evaluation pipelines, observability, and reliability. Focus on scaling GPU-backed inference, orchestrating agent workflows, monitoring model quality, and implementing secure production controls for millions of active users.

Location: Montreal, Quebec, Canada; hybrid with 3 days per week in the office

Salary: CA$136.8K–CA$205.2K annual salary, plus equity and benefits

Company

hirify.global uses AI-powered, human-centered technology to scale musculoskeletal healthcare, providing personalized care for conditions including acute injuries, chronic pain, and post-surgical rehabilitation.

What you will do

  • Build and operate reliable, low-latency, cost-efficient production systems for serving LLMs, VLMs, and other multimodal models at scale.
  • Develop offline and online evaluation and validation pipelines covering reasoning quality, model behavior, hallucination risk, policy compliance, latency, and regressions.
  • Build infrastructure for reasoning-agent orchestration, state management, tool execution, guardrails, and supporting backend services.
  • Design telemetry and observability systems with dashboards, traces, logs, alerts, and performance analytics for model inference and agent workflows.
  • Optimize throughput, capacity, model routing, fallback behavior, reliability, and infrastructure utilization for millions of active users.
  • Implement security controls, access patterns, and operational safeguards for responsible production use of generative AI systems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience developing and operating cloud services, infrastructure, and APIs in production, ideally with AWS.
  • Experience deploying and operating production ML systems, especially LLMs, VLMs, or other large-scale model systems.
  • Experience with observability tooling, CI/CD, and deployment workflows across development, staging, and production environments.
  • Experience with agent and LLM tooling such as LangSmith, LangChain, LangGraph, or MLflow, as well as GPU-backed inference and hosted model APIs.
  • Experience with Docker, Kubernetes, ECS or EKS, workflow orchestration, Databricks, IAM, secrets management, encryption, Terraform, and agent infrastructure.

Culture & Benefits

  • Hybrid work model combining remote and in-person collaboration.
  • Comprehensive medical, dental, and vision coverage.
  • Support for gender-affirming care, family and fertility planning, and travel reimbursement where care is not locally accessible.
  • Retirement savings options with a 2% company match.
  • Flexible stipends for learning, development, and modern life needs.

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