We are seeking a highly skilled Senior Machine Learning Engineer to join the Agentic AI group, focused on building the foundational components that power our next-generation proposal agents. This role is hands-on, ML-engineering driven, and central to operationalizing LLM and agent-based workflows in production. You will collaborate closely with the Applied Scientists, Product, and Engineering to transform designs into scalable, reliable agentic systems that deliver measurable customer value.
✨What You’ll Be DoingAdvanced Modeling & Applied Science
Build foundational components for multi agent systems including planners, tool orchestrators, reflection modules, and structured feedback loops.
Implement reasoning capabilities such as validators, summarizers, context interpreters, and correction routines that strengthen agent autonomy and reliability.
Develop and fine tune LLM and NLP models that support retrieval, reasoning, and generation across the agent workflow.
Apply modern ML techniques including embeddings, prompt pipelines, small scale fine tuning, and retrieval augmented methods to improve accuracy and consistency.
Translate scientific designs and experiments into production ready engineering components that operate predictably under real world conditions.
System Architecture & Engineering
Design and build scalable ML services, APIs, and agent runtime components in Python with strong engineering discipline.
Implement state management, control flow, and execution coordination for multi step agent loops, ensuring traceable and debuggable behavior.
Integrate agents with retrieval systems, knowledge components, and data services to provide context rich and consistent reasoning.
Ensure production readiness through strong engineering fundamentals including testing, observability, logging, latency management, and reliability.
Contribute to architecture decisions that balance modeling complexity with performance, maintainability, and long term scalability.
Delivery, Collaboration & Leadership
Break down complex agentic features into structured implementation plans with clear milestones and high quality execution.
Collaborate closely with Product, Engineering, and Applied Science partners to align plans, resolve constraints, and deliver meaningful customer outcomes.
Participate in technical design reviews and contribute to continuous improvement of engineering and ML best practices across the agent platform.
Provide guidance and informal mentorship to junior engineers on ML engineering, applied NLP, and agent workflow implementation.
Demonstrate strong ownership, attention to detail, and a commitment to delivering reliable and impactful systems.
Proven Expertise in Machine Learning, Language Models, and NLP
4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.
Hands on and deep experience with transformer models, prompt structured or fine tuned LLMs, for reasoning and generation tasks.
Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.
System Design, Scalability, and Software Engineering Rigor
Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.
Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.
Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.
Business and Product Acumen
Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.
Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.
Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.
Loopio is a global company, HQ’d in Canada, that embraces flexible and effective work models. While many of our teams operate remotely, this role is part of a new, strategic product team that will work in a hybrid model to accelerate innovation and foster deep collaboration.
For this role, you will be based in our Toronto, Ontario hub, with the expectation of working from our co-working space in downtown Toronto 3 days per week. This approach is intentionally designed to give you the best of both worlds: high-impact, in-person collaboration with your team to drive impactful product initiatives, and the flexibility of focused work-from-home days.
Our co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station
Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru).
You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday
We encourage asynchronous collaboration to effectively work as a global #OneTeam!
Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations
You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1️⃣ with Loopio.
We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.
You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.
Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.
Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.
AI in Recruitment 👩🏻💻 At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, transcription and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.
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