Назад
Company hidden
5 дней назад

Lead AI Backend Engineer

100 000 - 180 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead AI Backend Engineer (AI/LLM): Building an LLM-agnostic, agent-driven platform and high-throughput backend APIs for millions of users with an accent on multi-agent orchestration, RAG, reliability, security, and cost efficiency. Focus on designing distributed systems, integrating multiple model providers, optimizing latency and FinOps, and leading engineering teams.

Location: Remote in Canada

Salary: CAD 100,000–180,000 annually

Company

hirify.global helps businesses establish and protect their digital presence through domain, brand, website, and security services.

What you will do

  • Set the technical architecture for an LLM-agnostic, agent-driven platform.
  • Design and deliver high-throughput APIs with .NET, C#, Python, FastAPI, SQLModel, and Semantic Kernel.
  • Lead multi-agent orchestration, tool calling, structured outputs, and multi-step workflows across multiple model providers.
  • Guide production RAG systems using Azure AI Search, pgvector, Chroma, and equivalent retrieval platforms.
  • Own CI/CD pipelines, observability, security controls, evaluation, and FinOps for LLM workloads.
  • Partner with Product and Security while mentoring and hiring engineers.

Requirements

  • 7+ years of experience building and scaling production backend systems, including 2+ years in a technical leadership role.
  • Expertise in REST API design with Python FastAPI or .NET C# APIs, dependency injection, middleware, profiling, performance optimization, and distributed systems.
  • Production experience with Semantic Kernel or equivalent agent and LLM frameworks.
  • Experience delivering a production RAG system with measurable latency and quality KPIs.
  • Deep PostgreSQL expertise with SQLModel, SQLAlchemy 2, and Alembic migrations at scale.
  • Fluency with CI/CD, Docker, infrastructure as code, and blue-green or canary deployment strategies.

Nice to have

  • Message queues and event-driven architectures using RabbitMQ, Kafka, or Azure Service Bus.
  • GPU inference fleets, self-hosted open-weight models, or serverless model hosting.
  • Model gateways, intelligent routing, MCP, prompt caching, and LLM cost optimization.
  • Automated agent evaluations, LLM-as-judge techniques, safety guardrails, and context engineering.

Culture & Benefits

  • Work-life balance and a culture focused on diversity, inclusion, and belonging.
  • Learning, development, mentoring, and career growth opportunities.
  • Health benefits, vacation policy, punctuality bonus, and family-oriented support.
  • Employee affinity groups and opportunities to connect with colleagues globally.

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