Skip to content
mimi

Artificial Intelligence Engineer

Auxo | Growth Partner

Fort McMurray · On-site Full-time Senior Today

About the role

About

Auxo is hiring a Senior AI/ML Engineer for a fast-growing startup building AI-powered products for the financial industry.

The company combines data aggregation with advanced AI to help financial advisors deliver smarter, more personalized insights to their clients.

You’ll take a lead role in scaling generative AI systems, optimizing infrastructure, and mentoring a growing team of engineers.

Type

Full-time

Responsibilities

  • Architect and lead the design, development, and deployment of AI systems using LLMs, RAG, and agentic capabilities
  • Build and maintain production‑grade pipelines for data ingestion, processing, and model integration
  • Develop microservices and APIs supporting LLM‑based features such as chatbots and smart automation
  • Evaluate and optimize model performance and cost using Gemini, Claude, and GPT
  • Collaborate with data and backend teams to align AI development with product goals
  • Drive innovation through benchmarking, experimentation, and best practices
  • Mentor junior and intermediate engineers to strengthen the team’s technical depth

Requirements

  • 6+ years designing and deploying AI/ML systems in production
  • Strong hands‑on experience with Python and frameworks like FastAPI
  • Proven experience with LLMs, RAG, and context‑retrieval systems
  • Experience integrating with OpenAI, Anthropic, or Gemini APIs
  • Skilled with cloud AI services (AWS, GCP, or Azure) and Docker/Terraform/CI‑CD
  • Strong understanding of data pipelines, APIs, and microservice architectures
  • Great communicator who thrives in small, fast‑moving teams
  • Fintech experience is a plus

Nice to Have

  • Experience with LangChain, Llama Index, or custom agent frameworks
  • Hands‑on experience benchmarking or fine‑tuning LLMs
  • Familiarity with multi‑model orchestration or hybrid AI environments

Location

Montreal, Quebec, Canada

Salary

$ – $

Reference

#J-18808-Ljbffr

Requirements

  • 6+ years designing and deploying AI/ML systems in production
  • Strong hands‑on experience with Python and frameworks like FastAPI
  • Proven experience with LLMs, RAG, and context‑retrieval systems
  • Experience integrating with OpenAI, Anthropic, or Gemini APIs
  • Skilled with cloud AI services (AWS, GCP, or Azure) and Docker/Terraform/CI‑CD
  • Strong understanding of data pipelines, APIs, and microservice architectures
  • Great communicator who thrives in small, fast‑moving teams

Responsibilities

  • Architect and lead the design, development, and deployment of AI systems using LLMs, RAG, and agentic capabilities
  • Build and maintain production‑grade pipelines for data ingestion, processing, and model integration
  • Develop microservices and APIs supporting LLM‑based features such as chatbots and smart automation
  • Evaluate and optimize model performance and cost using Gemini, Claude, and GPT
  • Collaborate with data and backend teams to align AI development with product goals
  • Drive innovation through benchmarking, experimentation, and best practices
  • Mentor junior and intermediate engineers to strengthen the team’s technical depth

Skills

AWSAzureCI/CDClaudeDockerFastAPIGCPGeminiGPTLangChainLlama IndexLLMOpenAIPythonRAGTerraform

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free