FDE Applied AI Engineer - Canada

Inviso Corporation; California (MO); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Annual training allowance

Paid time off

Paid holidays

Job summary

Inviso is seeking an Applied AI Engineer to join its remote delivery team. You will build and operate AI capabilities across an enterprise platform, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost management.

This role emphasizes production-quality AI over demos, and requires collaboration with product, engineering, and security teams to ship meaningful AI features for clients. Some travel may be required.

Qualifications

• Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users.
• Experience designing or implementing agent runtime, orchestration, model routing, or AI workflow patterns.
• Strong understanding of prompt design, context management, and evaluation approaches.
• Experience building evaluation harnesses, regression checks, and safety gates for AI systems.
• Ability to treat cost, latency, reliability, and safety as core engineering constraints.
• Experience building guardrails and controls for AI systems and monitoring production behavior.
• Collaborates effectively with backend, platform, product, and security teams.

Responsibilities

• Build and operate AI capabilities across an enterprise platform, including runtimes, routing, and tool calls.
• Develop guardrails, evaluation, monitoring, and cost management for production AI.
• Partner with product and engineering teams to decide when AI is the right solution.
• Deliver AI features that are useful, reliable, measurable, and safe for production use.
• Travel as needed to support client needs.

Skills

LLM deployment

RAG systems

Agentic workflows

Production software

Guardrails

Monitoring & evaluation

Client-facing consulting

Software engineering

Cost & latency awareness

Job description

This is a remote, client-facing consultant role with Inviso. In this position, you will support an external software development organization as part of Inviso’s delivery team, helping build production AI capabilities that customers can rely on in real operational workflows.

The Inviso Applied AI Engineer is responsible for building and operating AI capabilities across an enterprise platform, including agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls.

This role is focused on shipping AI that works in production, not demos. The ideal candidate understands how to move from prototype to monitored production systems, can evaluate AI behavior rigorously, and can partner with product and engineering teams to decide when AI is the right solution and when it is not.

This is a 100% remote role but may require some travel due to client needs.

Experience & Skills Required

• Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users.
• Experience designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns.
• Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation approaches.
• Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks.
• Ability to treat cost, latency, reliability, and safety as first-class engineering constraints.
• Experience building guardrails and controls for AI systems, including untrusted retrieved content, tool output risk, and failure modes.
• Experience monitoring production AI behavior and improving systems based on evidence, not opinion.
• Strong software engineering skills and ability to collaborate with backend, platform, product, and security teams.
• Strong communication and collaboration skills for client-facing consulting environments.
• Pragmatic mindset with the ability to prioritize business value and ship useful AI capabilities quickly and responsibly.

Desired Qualifications

• Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models.
• Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.
• Experience with LLM-as-judge approaches calibrated against human evaluation.
• Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers.
• Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement.
• Experience using AI-assisted development tools while maintaining strong review, testing, and safety discipline.

Success Criteria

Success in this role is measured by the ability to deliver AI capabilities that are useful, reliable, measurable, safe, and cost aware. Applied AI Engineers are expected to turn experiments into production features, build evaluation discipline into the delivery process, and help client teams make informed decisions about where AI creates real value.

In addition to the base pay, Inviso provides an annual $2,000 training allowance to all of its employees, plus paid time off, paid holidays, and other benefits.

• Our commitment to excellence is interwoven with the way we care about our people. Our low attrition rate, high average employee tenure, and the number of people that have been with Inviso for 10, 15, even 20 years, speaks volumes to who we are as a company.
• We are a meritocracy through and through. Those who excel, grow. There is no ceiling, we don’t tolerate politics.
• Inviso has maintained a deep, well-established relationship with Microsoft for over 20 years. We are a top-rated supplier and are proud to be a Managed Partner with many credentials.