Ranger 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.

We’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, solution architecture, and technical consulting.

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.

This is not a traditional implementation or Solutions Engineer role. You will be expected to design, build, deploy, and own production software while working directly with enterprise stakeholders.

• 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.
• Own the full customer delivery lifecycle from technical discovery and solution design through development, testing, deployment, iteration, and production adoption.
• 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.

• 5+ years of professional software engineering experience across backend, full-stack, ML, applied AI, or similar production engineering roles.
• Strong customer-facing experience working directly with enterprise teams on technical discovery, solution design, implementation, or production deployment.
• Hands-on experience building and operating production applications using LLMs, Generative AI, RAG, embeddings, agents, or multimodal models.
• Strong understanding of modern AI application patterns including retrieval, tool use, structured outputs, prompt and context design, evaluation, and orchestration.
• Experience building and integrating production systems using APIs, databases, data pipelines, cloud services, and distributed architectures.
• Experience with AWS, GCP, or Azure, containerized environments such as Docker, and modern deployment workflows.
• Excellent communication skills with the ability to work effectively with customer engineering, IT, security, business, and executive stakeholders.
• Demonstrated ability to operate in ambiguous environments, translate customer problems into technical solutions, and own projects from discovery through production deployment.
• Willingness to travel to customer sites as required.

• Prior experience as a Forward Deployed Engineer, Applied AI Engineer, ML Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, or similar customer-embedded technical role.
• Experience leading technical engagements with large enterprise or strategic customers.
• Experience with RAG, vector databases, hybrid search, enterprise search, or complex knowledge retrieval systems.
• Experience building production AI agents involving tool use, multi-step workflows, or workflow orchestration.
• Experience with multimodal AI, document intelligence, OCR, or computer vision.
• Familiarity with enterprise requirements including security, identity, networking, data access, integrations, and deployment architecture.
• Experience working in a startup, high-growth technology company, or consulting environment where engineers are expected to own customer outcomes end to end.
• Experience in industrial, manufacturing, engineering, procurement, or other complex enterprise environments is a plus.

We’re looking for a customer-obsessed senior engineer who is equally comfortable speaking with enterprise stakeholders and building production software.

You should be able to take an unclear business problem, understand the underlying workflow, design the right technical approach, build it, deploy it, and iterate with the customer until it delivers real value.

You are deeply technical, pragmatic, product-minded, comfortable with ambiguity, and excited about deploying AI into real enterprise environments.

This 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.
• 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.