AI Forward Deployed Engineer

AItoolnavio; Canada; Remote; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote work

International engineering team

Technical ownership

Continuous learning

Meaningful impact

Collaborative environment

Job summary

AItoolnavio and its partner are seeking an AI Forward Deployed Engineer based in Canada to design and operate production-ready AI-powered services. You will enable agents to interact safely with external systems, building reusable capabilities for meetings, browsing, search, email, payments, and workflows.

You will work across product engineering, platform architecture, and applied AI to translate emerging agent use cases into practical solutions, while ensuring security, observability, and

Qualifications

• Hands-on software engineer with production experience.
• Experience with LLMs, AI agents, tool calling, and orchestration.
• Designing reliable, scalable software services.
• Good judgment on system reliability, security and permissions.
• Ability to navigate ambiguous problems and turn ideas into robust solutions.
• Strong problem solving and collaboration with product/engineering teams.
• Familiarity with agent frameworks is a plus.
• Interest in secure, dependable AI-powered products.

Responsibilities

• Design, build, deploy, and operate production-grade services that enable AI agents to perform tasks reliably.
• Develop internal tools to improve employee productivity and streamline workflows.
• Build external integrations and tools that simplify customer interactions with AI-powered applications.
• Develop reusable agent primitives for meeting participation, web browsing, search, browser automation, email, and payments.
• Establish reliable interfaces and workflows for agent tool usage and orchestration.
• Collaborate with product and engineering teams to translate AI use cases into services.
• Strengthen platform safety, observability, testing, security, and reliability.
• Contribute to architecture, technical strategy, and evolution of the agent enablement platform.
• Ensure AI agents interact with external systems securely and manage permissions.

Skills

Production systems

LLMs & agents

Software engineering

Security & permissions

Problem solving

Communication

Tools

Hermes Agent

OpenClaw

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Forward Deployed Engineer based in Canada.

Join an innovative engineering team building the next generation of AI-powered tools, services, and integrations. In this role, you will design and operate production-ready services that enable AI agents to interact safely and reliably with external systems. You will develop reusable capabilities for meeting participation, web browsing, search, email, payments, and automated workflows. Working across product engineering, platform architecture, and applied AI, you will help transform emerging agent use cases into practical solutions. You will also build internal tools that improve employee productivity and external integrations that simplify customer experiences. This is an opportunity to shape the architecture of an evolving AI platform while solving meaningful real-world engineering challenges.

Accountabilities

As an AI Forward Deployed Engineer, you will take ownership of developing reliable AI infrastructure and agent capabilities, collaborating with cross-functional teams to turn innovative ideas into scalable production services. Your responsibilities will include:

• Design, build, deploy, and operate production-grade services that enable AI agents to perform tasks reliably.

• Develop internal tools and applications that improve employee productivity and streamline everyday workflows.

• Build external integrations, connectors, and tools that simplify how customers interact with and integrate services into AI-powered applications.

• Develop reusable agent primitives and capabilities, including meeting participation, web browsing, search, browser automation, email, and payment services.

• Establish reliable interfaces, workflows, and protocols for agent tool usage and orchestration.

• Collaborate closely with product and engineering teams to translate emerging AI agent use cases into practical, maintainable services.

• Strengthen platform safety, observability, testing, security, and operational reliability.

• Contribute to the overall architecture, technical strategy, and evolution of the agent enablement platform.

• Ensure that AI agents can interact with external systems securely, manage permissions appropriately, and handle actions with real-world consequences.

Requirements

The ideal candidate is a hands-on software engineer with strong production engineering experience, practical knowledge of applied AI, and the ability to turn ambiguous technical challenges into reliable products. You should bring:

• Strong software engineering experience, including ownership and maintenance of production systems.

• Practical experience working with Large Language Models (LLMs), AI agents, tool calling, and agent orchestration.

• A solid understanding of designing reliable, scalable, and maintainable software services.

• Good technical judgment regarding system reliability, security, access permissions, and external side effects.

• The ability to navigate ambiguous problems, evaluate emerging technologies, and turn early-stage ideas into robust engineering solutions.

• Strong problem-solving and analytical skills, with a practical and hands-on approach to development.

• Clear communication and the ability to collaborate effectively with product and engineering teams.

• Experience with agent frameworks and runtimes such as Hermes Agent or OpenClaw is considered a plus.

• An interest in developing secure, dependable AI-powered products and shaping the future of agent-based applications.

Benefits

• Fully remote opportunity: Work remotely while collaborating with an international engineering team.

• Cutting-edge AI projects: Contribute to the development of advanced AI agent capabilities, integrations, and production services.

• Technical ownership: Help shape platform architecture, engineering standards, and the direction of an evolving AI enablement ecosystem.

• Continuous learning: Work with emerging AI technologies, LLMs, agent frameworks, and modern software engineering practices.

• Meaningful impact: Build tools that improve employee productivity and make AI-powered integrations more accessible to customers.

• Collaborative environment: Partner with product and engineering teams to solve complex technical challenges and bring new ideas into production.