Senior Machine Learning Engineer, Loopio
Agentic AI
3+ days a week in office (Downtown Toronto, ON)
AI-powered proposal request responses
Be an early applicant
AI-powered proposal request responses
201-500 employees
Be an early applicant
3+ days a week in office (Downtown Toronto, ON)
201-500 employees
Company mission
To help ambitious companies and people grow.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
Application process
- 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
Our take
Loopio provides RFP response software to companies in a variety of industries including healthcare, financial services and telecommunications. Its platform streamlines responses to proposal requests, requests for information and due diligence questionnaires, helping firms to improve sales efficiency and unlock growth opportunities.
The company boasts an impressive client list including DocuSign, PayPal and American Express. Loopio expects its client base to continue growing, bolstered by a 2023 independent study that shows that clients of the company can experience a three-year return on investment alongside almost $6 million in business benefits.
Loopio has used funding to accelerate product development and customer acquisition, as well as expand its team. It has also partnered with Door, a digital due diligence platform for asset management and research teams. This partnership exemplifies a mature caution in Loopio's expansion aims, helping them to keep in control of their growing business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2021
$200m
GROWTH EQUITY VC
Feb 2018
$8.7m
SERIES A
Total funding: $208.7m
Company benefits
- Robust Health Benefits
- Extended Parental Leave
- Employee Stock Options
- Professional Mastery Budget
- Weekly Loopio Socials
- Annual Company Retreat
- Generous Paid Time Off Program
- Team Wellness Activities
Company HQ
Chinatown, Toronto, ON
Leadership
Zak Hemraj
(Co-Founder & CEO)Progressed from Software Developer to Manager and Team Lead at Achievers within 8 years.
Matt York
(Co-Founder & CTO)Experience as Software Engineering Manager at Achievers, and Vice President of Engineering at Top Hat.
Salary benchmarks
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