About Ranger AIRanger AI is a venture-backed intelligence platform helping the world reindustrialize through digital and AI transformation.

Backed by Bonfire Ventures, Inovia Capital, 25Madison, and Panache Ventures, Ranger builds enterprise AI systems for complex industrial workflows. Our platform helps manufacturers, engineering companies, and other large enterprises transform document-heavy processes such as tendering, RFPs, proposals, quotations, and engineering workflows through AI agents and intelligent automation.

Role OverviewWe’re looking for an Enterprise AI Engineer — Forward Deployed to work directly with enterprise customers and lead the end-to-end delivery of high-impact AI solutions.

This is a deeply technical, customer-facing role combining software engineering, applied AI, and solution architecture.

You’ll embed with customer teams, understand their workflows, data, and technical requirements, and translate those challenges into production-ready solutions built on the Ranger platform.

You’ll work across Generative AI, LLM agents, retrieval systems, enterprise data, APIs, integrations, and application development, taking customer problems from discovery through deployment and production adoption.

Key Responsibilities

- Engage directly with enterprise and strategic customers to understand complex workflows, data environments, systems, and technical requirements.
- Architect, build, and deploy production AI solutions using GenAI, LLM agents, RAG, multimodal models, enterprise search, and customer data sources.
- Co-own the full customer delivery lifecycle from technical discovery and solution design through development, testing,



deployment, iteration, and production adoption along side our Solutions Architect and Deal owner.
- Build and optimize AI pipelines including data ingestion, retrieval, prompt and context design, model selection, evaluation, validation, and observability.
- Develop reliable integrations across enterprise APIs, databases, document repositories, cloud infrastructure, and other customer systems.
- Troubleshoot complex issues across the stack, including applications, AI models, data pipelines, integrations, infrastructure, performance, and reliability.
- Act as a trusted technical advisor to customer engineering, IT, security, and business teams, helping them successfully deploy and expand AI-powered workflows.
- Partner closely with Ranger Product and Engineering to turn customer requirements and deployment learnings into reusable platform capabilities and roadmap priorities.

Qualifications
- 5+ years of professional software engineering experience, ideally across backend, full-stack, ML, or applied AI engineering.
- Customer-facing experience is strongly needed.
- Experience building applications using LLMs, Generative AI, RAG, embeddings, agents, or multimodal models.
- Strong understanding of retrieval, tool use, structured outputs, prompting, model evaluation,



and AI orchestration.
- Experience with APIs, databases, data pipelines, cloud infrastructure, and distributed systems.
- Experience with AWS, GCP, or Azure and containerized environments such as Docker.
- Excellent communication skills with both technical and non-technical stakeholders.
- Comfortable operating in ambiguous environments and independently owning projects from problem definition through production deployment.
- Willingness to travel to customer sites when required.

Preferred Qualifications
- Experience as a Forward Deployed Engineer, Applied AI Engineer, ML Engineer, Software Engineer, Solutions Architect, or similar customer-facing technical role.
- Previous experience working directly with enterprise customers, consulting, professional services, or embedded technical teams.
- Experience building AI agents involving tool use and multi-step workflows.
- Experience with multimodal AI, document intelligence, OCR, or computer vision.

What We OfferThis is a Canada-based, full time permanent position, with Remote / Hybrid options available.

- Base Salary: CAD 140,000–175,000, depending on experience and impact.
- Equity: Competitive equity consideration based on experience and role post 90 days.
- Benefits: Extended health benefits and PTO.
- Work directly with major enterprise customers deploying advanced AI into production.
- Significant ownership over customer solutions and Ranger’s Forward Deployed Engineering practice.
- Help define how AI is deployed across some of the world’s most complex industrial workflows.

📌 Enterprise AI Engineer (Ontario)
🏢 Ranger AI
📍 Ontario