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Salary: CAD 175,000 - 215,000 / annual
Ranger AI builds production AI systems for complex industrial workflows, helping manufacturers, engineering firms, and EPC enterprises automate document-heavy processes like tenders, RFPs, proposals, and engineering specifications.
You will lead technical delivery for enterprise customers, owning engagements from technical discovery through production deployment. This is an execution-heavy, high-exposure role where you will partner with Account Owners and Product Managers to run technical customer engagements, act as the primary technical authority, scope complex data environments, write production pipeline code, and ensure systems meet customer acceptance benchmarks. You will also channel customer learnings back into core product and engineering to build reusable platform capabilities.
Key responsibilities include:
- Lead technical discovery sessions with enterprise IT, engineering, and business leaders to map workflows, data flows, and security requirements
- Serve as the trusted technical counterpart to enterprise stakeholders, running architecture reviews and leading customer engineering teams through production onboarding
- Architect, build, and deploy production AI pipelines tailored to industrial documentation using RAG, structured extraction, and agentic workflows
- Build and maintain reliable integrations connecting customer data sources, ERPs, and document management systems to the Ranger platform
- Define and implement rigorous evaluation suites, guardrails, and observability to guarantee accuracy and reliability in production environments
- Identify recurring architectural patterns across customer deployments and work with core engineering to harden them into platform-level features
Willingness to travel 15–20% for on-site customer discovery, workshops, and production rollouts.
REQUIREMENTS:
- 7+ years of software engineering experience shipping production backend, distributed systems, or applied AI software in Python or TypeScript/Node.js
- 3+ years in high-touch, customer-facing technical roles (Forward Deployed Engineer, Technical Solutions Architect, or Technical Consultant) leading technical discovery and production software delivery for large enterprise accounts
- Proven track record leading technical conversations with customer VPs, enterprise architects, security leads, and engineering teams
- Hands-on experience building and deploying production LLM systems, including RAG pipelines, agentic tool use, structured output enforcement, and automated evaluation frameworks
- Strong production experience with cloud platforms (AWS, Azure, or GCP), Docker, relational/NoSQL databases, and enterprise REST/GraphQL APIs
PREFERRED:
- Hands-on experience with computer vision and multimodal document parsing (complex layouts, tables, scanned schematics, technical drawings)
- Experience with graph databases (e.g., Neo4j) or knowledge graph approaches for enterprise retrieval
- Experience designing multi-agent systems or agent swarm architectures for multi-step workflow orchestration
- Prior experience as an FDE at an enterprise AI or data platform
- Background working with industrial, manufacturing, energy, or procurement enterprises
