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Added 30 mins ago
Machine Learning Engineer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 30 mins ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Establish enterprise data lineage and cataloging using modern metadata management and data discovery tools; curate business glossaries and data contracts with domain owners.
Added 45 mins ago
Data Scientist III
TD
Toronto, ON
Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 1 hour ago
Senior Automation Developer
Citi
Mississauga, ON
Full-time
Programming Languages: Advanced, hands-on programming proficiency in core languages including Java, Python, and JavaScript/TypeScript, with a deep understanding of object-oriented…
Added 1 hour ago
Senior Software Developer, AI/ML GenAI, Google Cloud AI
Google
Waterloo, ON
…change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.…
Added 1 hour ago
AI Business Analyst
Kelly
Toronto, ON
$50 to $66 CAD / hour
Contract
Familiarity with Python or other scripting languages
Added 1 hour ago
Quality Engineer
TEEMA
Vancouver, BC
Full-time
Programming/scripting experience with Python, JavaScript, and/or Node.js.
Added 1 hour ago
Python Developer
Smart IT Frame LLC
Mississauga, ON
Full-time
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing…
Added 2 hours ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
…improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics…
Added 2 hours ago
Lead Quant Analyst - Model Risk Management
Hallmark Global Solutions Ltd
ON · Ontario, Canada
Full-time
We are looking for a Risk model developer to join us in Toronto
Added 2 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Shape the developer-facing surface - CLIs, SDKs, job submission, templates, paved paths - designed with the teams who'll use them. Make the common case one command and keep the uncommon…
Added 3 hours ago
AI Engineer
Triunity Software
Halifax, NS
$100,000 to $110,000 CAD / year
Full-time
…passionate about pushing the boundaries of what's possible with AI, we want to hear from…
Added 3 hours ago
AI Engineer
Triunity Software
St. John's, NL
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Fredericton, NB
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Winnipeg, MB
$100,000 to $110,000 CAD / year
Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 3 hours ago
AI Engineer
Triunity Software
Regina, SK
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to identify and solve complex business problems using AI
Added 3 hours ago
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI capabilities into software products
Added 3 hours ago
AI Engineer
Triunity Software
Quebec, QC
$100,000 to $110,000 CAD / year
Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 3 hours ago
AI Engineer
Triunity Software
AB · Edmonton, AB
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
AI Engineer
Triunity Software
Victoria, BC
$100,000 to $110,000 CAD / year
Full-time
Collaborate with cross-functional teams to integrate AI solutions into existing software products
Added 3 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
You’ll work with me and our product designer in our Poblenou office in Barcelona, and lead our existing small team of remote full-stack engineers.
Added 3 hours ago
Data & AI Business Analyst
Kelly
Toronto, ON
Contract
Familiarity with Python or other scripting languages
Added 3 hours ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 3 hours ago
AI Software Developer, Toronto
symplistic.ai
Toronto, ON
Full-time
As an AI Software Developer, you'll work closely with our team to design, develop, and deploy AI agents and custom software integrations at Enterprise scale. You'll play a key role in…
Added 4 hours ago
Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.

Ranger AI

Applied AI Engineer

Canada

Pay: $110,000–$140,000 CAD base, depending on experience
Job type: Full-time
Experience: 4+ years of professional software engineering, applied AI, ML engineering, or similar experience.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Company Description

Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.

The platform helps enterprise teams improve workflows across RFPs, RFQs, proposals, quotations, legal review, and other complex commercial processes.

Ranger is backed by Bonfire Ventures, Inovia Capital, 25Madison, and Panache Ventures.

Role Description

This is a remote/hybrid role for an Applied AI Engineer at Ranger AI.

You will work directly with enterprise customers to understand their workflows, identify where AI can create value, and build solutions that move those workflows into production. You will work closely with Product, Forward Deployed Engineering, GTM, and our customers across discovery, solution design, implementation, testing, and deployment. The role requires strong technical ability, but also strong business judgment. You need to be comfortable speaking with customers, understanding how their business works, translating business problems into technical requirements, and building AI systems that are reliable enough for real enterprise use.

What You Will Do

Work directly with enterprise customers to understand workflows, requirements, data, and business objectives.
Translate customer problems into practical AI solutions.
Design and build LLM-powered workflows, agents, retrieval systems, and automation.
Build applications using structured and unstructured enterprise data.
Develop and improve RAG pipelines, tool use, prompting, structured outputs, and agent workflows.
Work with APIs, databases, document pipelines, and enterprise integrations.
Collaborate closely with Product Managers and Forward Deployed Engineers on customer deployments.
Prototype new AI capabilities quickly and take successful prototypes into production.
Evaluate model performance, accuracy, reliability, and failure modes.
Improve existing AI workflows based on customer feedback and production usage.
Help determine when a customer problem should be solved through prompting, workflow design, retrieval, software engineering, or model changes.
Support customer testing, technical discussions, and go-live.
Document technical decisions, system behavior, and implementation requirements clearly.

What We Are Looking For

4+ years of professional software engineering, applied AI, ML engineering, or similar experience.
Hands-on experience building applications using LLMs, Generative AI, RAG, agents, embeddings, or multimodal models.
Strong software engineering fundamentals.
Experience with Python and modern backend development.
Experience working with APIs, databases, data pipelines, and cloud infrastructure.
Strong understanding of prompting, retrieval, tool use, structured outputs, and model evaluation.
Experience taking AI applications from prototype into production.
Strong communication skills with both technical and non-technical stakeholders.
Comfortable working directly with enterprise customers.
Ability to understand a business process and translate it into a technical solution.
Comfortable working in an early-stage environment with ambiguity and changing requirements.
High level of ownership and ability to independently drive projects forward.

Business & Customer Experience

We strongly value engineers who understand the business problem behind the technology.

You should be comfortable asking customers questions about how they work, why a process exists, where the bottlenecks are, and what success looks like.

A background in business, consulting, product, operations, entrepreneurship, or customer-facing technical work is highly valued.

Nice to Have

Experience in manufacturing, energy, oil and gas, engineering, pharma, supply chain, or other industrial environments.
Experience with enterprise workflows such as RFPs, RFQs, quoting, proposals, contracts, or document review.
Previous experience in a customer-facing technical role.
Experience with AWS, Azure, or GCP.
Experience with Docker and production infrastructure.
Experience with knowledge graphs, vector databases, or enterprise search.
Experience building agentic systems with multiple tools or workflows.
Experience at an early-stage startup.

Compensation

$110,000–$140,000 CAD base, depending on experience
Extended health benefits
Opportunity to work directly with enterprise customers and help build applied AI systems used in real industrial workflows

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More about this job

Responsibilities

Work with enterprise customers to understand their workflows and translate business needs into reliable AI solutions, including LLM-powered workflows, agents, retrieval systems, and automation. Prototype, evaluate, deploy, and improve AI applications in production while collaborating with Product and Forward Deployed Engineering teams and supporting customer testing and go-live.

Requirements

Requires at least four years of software engineering, applied AI, ML engineering, or similar experience, with hands-on experience building and deploying LLM or generative AI applications. Candidates should have strong Python and backend engineering skills, experience with APIs, databases, data pipelines, and cloud infrastructure, and the ability to communicate with customers and translate business processes into technical solutions.

Skills

Python
Software Engineering
Applied AI
Large Language Models
Generative AI
Retrieval-Augmented Generation
AI Agents
Prompt Engineering
Model Evaluation
Backend Development
API Integration
Database Management
Data Pipelines
Cloud Infrastructure
Enterprise Integrations
Customer Communication

Benefits

Extended Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Python
Large Language Models
Generative AI
Retrieval-Augmented Generation
AI Agents
Embeddings
Multimodal Models
Prompting
Tool Use
Structured Outputs
Model Evaluation
Backend Development
APIs
Databases
Data Pipelines
Cloud Infrastructure
AWS
Azure
Google Cloud Platform
Docker
Vector Databases
Knowledge Graphs
Enterprise Search
Enterprise Integrations
Document Pipelines
RFPs
RFQs
Proposal Management
Workflow Automation
Customer Discovery

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