Senior AI Engineer

Mod Op Llc.; Remote; CAD 90,000 - 120,000; Full time

Job summary

A cutting-edge marketing agency is looking for an AI Engineer to join their Innovation Team in Toronto, Canada. This role requires at least 8 years of experience in machine learning and AI integration. As part of the team, you will design AI architectures, collaborate closely with various stakeholders, and lead projects to develop intelligent tools that enhance marketing strategies. This position offers a fully remote work environment, competitive compensation, and opportunities for career advancement.

Benefits

Health and Life Insurance

Access to LinkedIn courses

On the job training and career growth opportunities

Fun company culture with a great balance of work and play

Salary with yearly review and competitive benefits

Qualifications

• At least 8 years of experience in machine learning engineering, AI/LLM integration, or applied NLP.
• Demonstrated success in developing and deploying AI/LLM-based applications within production settings.
• Expertise in foundational models and best practices for prompt engineering.
• Proficient understanding of HTML, CSS, and JavaScript.
• Experience in developing or integrating AI agents or recommendation systems.

Responsibilities

• Design comprehensive AI system architectures and oversee data pipelines.
• Proactively assess scale, latency, and reliability tradeoffs.
• Collaborate with product and strategy stakeholders to define problems and requirements.
• Document data privacy, security, and compliance considerations.
• Stay at the frontier of AI innovation through emerging models and frameworks.

Skills

Machine learning engineering

AI/LLM integration

Applied NLP

Python programming

Agile development methodologies

Collaboration in cross-functional teams

Education

Degree in Computer Science, Engineering, or related field

Tools

Python

Node.js

Java

HTML

CSS (SASS)

JavaScript (jQuery)

OpenAI SDK

Hugging Face

ActiveCampaign

APIs

Job description

Mod Op is redefining how marketing gets done. We’re building AI-enabled solutions that transform creativity, strategy, and execution. We are reimagining how the agency-client and business-consumer/client value equation looks, feels and delivers unforgettable experiences and services at scale.

As an AI Engineer on Mod Op’s Innovation Team, you’ll help build the future of marketing by combining data, behavioral insights, and cutting‑edge AI technology to create intelligent tools and agents that elevate creativity, drive efficiency, and unlock growth for global brands.

You’ll work alongside strategists, data scientists, creatives, and technologists to design and deploy bespoke AI solutions that scale across industries like CPG, entertainment, food & beverage, and B2B. Your curiosity about human behavior and your drive to experiment will power innovations that reshape how customers discover, engage with, and buy products and services.

This is not a lab role. It is a build, test, learn, and ship role. You’ll help Mod Op and our clients evolve faster, smarter, and more humanly.

Responsibilities

Design comprehensive AI system architectures, taking responsibility for selecting models (e.g., LLMs, traditional ML, or hybrid approaches), determining the use of RAG versus fine‑tuning or agentic workflows, and overseeing data pipelines, vector stores, orchestration, and observability.

Proactively assess scale, latency, cost, and reliability tradeoffs, collaborating with IT to devise solutions and monitoring tools to prevent issues before they arise.

Partner with product, strategy, and executive stakeholders to define the problems at hand, transform ambiguous goals into specific solutions and requirements, and establish and promote shared success metrics.

Work alongside UX/UI and Solution Architects to create and implement evaluation criteria for AI outputs (such as quality, bias, drift, and hallucinations) throughout the design, prototyping, development, and production phases.

Take ownership of and document data privacy, security, and compliance considerations, including establishing clear guidelines on issues such as prompt injection, IP leakage, bias, brand risks, model limitations, failure modes, and established human escalation paths.

Evaluate cost‑to‑value tradeoffs, incorporating active optimization of token usage, caching strategies, and model routing, while also considering future growth plans.

Provide strategic insights on roadmaps and intellectual property, identifying reusable patterns that can add value or evolve into platforms, internal tools, and future features based on existing IP.

Stay at the frontier of AI innovation, exploring emerging models, frameworks, and integrations that enhance our marketing ecosystem.

Qualifications

• At least 8 years of experience in machine learning engineering, AI/LLM integration, or applied NLP
• Degree in Computer Science, Engineering, or related field

AI/ML Engineering & Applied NLP

• Demonstrated success in developing and deploying AI/LLM-based applications within production settings
• Expertise in foundational models (GPT‑4o, Claude, Gemini, Mistral, etc.) and best practices for prompt engineering
• Practical experience with vector databases (pgvector, Pinecone, Weaviate) and Retrieval‑Augmented Generation (RAG) pipelines
• Knowledge of orchestration frameworks such as LangChain or LlamaIndex
• Proficiency in Python programming, including experience with the OpenAI SDK, Hugging Face, or similar AI libraries
• Experience in developing or integrating AI agents, automation systems for creative tasks, or recommendation systems
• Experience in creating custom GPTs/Agents

Web, Backend & Integrations

• Proficient understanding of HTML, CSS (SASS), and JavaScript (jQuery)
• Proficiency with backend technologies such as Node.js, PHP, Java, or Ruby
• Working knowledge of third‑party integrations, APIs, and backend services
• Expertise in creating responsive, accessible, and high‑quality websites and web applications

Product Experimentation & Evaluation

• Comfortable running A/B tests, evaluation frameworks, and feedback loops for continuous AI improvement

Software Delivery & Collaboration Practices

• Proficiency in Agile development methodologies
• Experience with version control systems (e.g., Git)
• Collaboration in cross‑functional teams with designers, developers, and strategists

Marketing Technology

• Experience with marketing automation platforms such as ActiveCampaign, Pardot, or others—including landing pages, automated workflows, template creation, and integrating websites and databases

• Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
• On the job training and career growth opportunities.
• Access to LinkedIn courses.
• Fully remote job.
• Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
• Vacations are granted by day or weeks according to employee approved request.
• Salary with yearly review and competitive benefits.
• Competitive compensation based on experience and skill set.

When asked what they love about working at Mod Op, we hear:

• “I feel I can be myself at work and it’s fun!” -MV
• “The caliber of the clients/brands we work with, knowing your work is seen by thousands of people, in many cases across the world.” -JC
• “We actually create videogames!” -AC
• “We have an all‑star team, and it’s like playing in the pro‑bowl every day!” -MW
• “Opportunities to always learn from and work with the best and the brightest.” HW
• “Mentors and opportunities for growth.” -KB

Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.