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Added 17 mins ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 48 mins ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 48 mins ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 1 hour ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 1 hour ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 2 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 2 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 4 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 6 hours ago
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
Full-time
have strong hands-on experience with Snowflake as a primary platform, complemented by proficiency in cloud
Added 12 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Build and maintain deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions; manage MCP server…
Added 15 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 22 hours ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
Build and maintain deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions; manage MCP server…
Added 1 day ago
Cloud Engineer
VySystems
Canada
Full-time
4+ years in infrastructure engineering, cloud platforms, or HPC.
Added 1 day ago
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
Full-time
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 day ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 1 day ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
Cloud infrastructure, deployment, observability, SRE, incident response, performance, and reliability also sit with you. Other engineers will implement parts. You own the whole system.
Added 1 day ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large…
Added 1 day ago
Applied AI Engineer
Ranger AI
Canada
Full-time
Experience working with APIs, databases, data pipelines, and cloud infrastructure.
Added 1 day ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 day ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 day ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 day ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 day ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 1 day ago
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
Full-time
Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
Added 1 day ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
The ideal candidate brings deep expertise in agentic AI systems, knowledge graphs, AI-powered document generation, cloud infrastructure, AI services, CI/CD, observability, and…

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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