Python Developer – AI Operations

Reposted 2 Hours Ago
Be an Early Applicant
Montréal, QC, CAN
In-Office
Mid level
Software
The Role
Develop, deploy, and maintain LLM-driven features and AI automation pipelines. Evaluate models, GPU providers, and integrations. Support stakeholders, improve production systems, and ensure scalability, security, and efficient architecture.
Summary Generated by Built In

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). 

*A select number of positions require full-time in office attendance*

Iyou're a Python Developer with a passion for AI and Large Language Models and want to get the chance to work on cutting-edge AI-powered products and intelligent automation systems, then keep reading. As a key member of the AI Operations team, you will have a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment. 

 What You'll Be Doing:

  • Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and process 
  • Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requests 
  • Help research and evaluate new models, frameworks, and GPU infrastructure providers (such as OpenRouter, RunPod, and other cloud GPU platforms) for integration into our AI stack 

What you’ll need to be successful:

Must Haves:

  • College or bachelor's degree in computing science or related field 
  • Strong proficiency in Python (3+ years) with hands-on experience building production-grade systems/software 
  • 3 to 5 years of experience in software development with a focus on AI/ML pipelines, LLM integration, or generative AI applications 
  • Solid understanding of Large Language Models (LLMs) — including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and agentic workflows 
  • Hands-on experience working with LLM API providers and model routing platforms such as OpenRouter, OpenAI, Anthropic, or equivalent 
  • Familiarity with GPU GPU-as-a-service providers/platforms 
  • Good working knowledge of REST API design, async Python, and Linux/Bash scripting 
  • A solid understanding of container technologies and modern container‑based build practices 
  • Understanding of computational and data complexity, scalability, security 
  • Good knowledge of applicable design patterns, algorithms 
  • Ability to architect, build and own efficient applications and components. 

Nice To Haves:

  • Experience with Gitlab CICD pipelines 
  • Experience with vector databases and embedding pipelines 
  • Familiarity with ML orchestration and workflow tools 
  • Broad knowledge of many of the following: cloud infrastructure, model monitoring, system observability, and MLOps practices 
  • Experience in deploying production systems to AWS using IaC 

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content

Skills Required

  • College or bachelor's degree in computing science or related field
  • Strong proficiency in Python (3+ years) with hands-on experience building production-grade systems
  • 3 to 5 years software development experience focused on AI/ML pipelines, LLM integration, or generative AI
  • Solid understanding of Large Language Models including prompt engineering, fine-tuning, RAG, and agentic workflows
  • Hands-on experience with LLM API providers and model routing platforms (e.g., OpenRouter, OpenAI, Anthropic)
  • Familiarity with GPU-as-a-service providers/platforms
  • Good working knowledge of REST API design, async Python, and Linux/Bash scripting
  • Solid understanding of container technologies and modern container-based build practices
  • Understanding of computational and data complexity, scalability, and security
  • Good knowledge of applicable design patterns and algorithms
  • Ability to architect, build, and own efficient applications and components
  • Experience with GitLab CI/CD pipelines
  • Experience with vector databases and embedding pipelines
  • Familiarity with ML orchestration and workflow tools
  • Knowledge of cloud infrastructure, model monitoring, system observability, and MLOps practices
  • Experience deploying production systems to AWS using Infrastructure as Code (IaC)
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The Company
HQ: Luxembourg
1,507 Employees

What We Do

Aylo is a tech pioneer offering world class adult content platforms. The company provides trusted environments to enable a safe online user experience, and to empower its communities by celebrating diversity, inclusion and expression. Aylo holds a number of widely popular and diverse online adult entertainment and gaming properties. Its portfolio includes Pornhub, YouPorn, Brazzers, Men.com, Nutaku, and more, all of which maintain robust trust and safety protocols.

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