Python Developer – AI Operations
About The Position
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. If you'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.
Requirements
- 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
Responsibilities
- 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
Benefits
- As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
