At a Glance
- Tasks: Own the deployment journey of innovative AI products and enhance customer capabilities.
- Company: Join a cutting-edge tech company focused on AI and business process automation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for travel and collaboration with a global team.
- Why this job: Shape the future of AI products while making a real impact in enterprise environments.
- Qualifications: Strong software development skills and experience with AI in production settings.
The predicted salary is between 159795 - 195305 $ per year.
Location: REMOTE / Toronto, Ontario. This job allows you to work remotely.
About the role: We have a new enterprise grade kind of product: business processes described in natural language, generated as executable BPMN workflows, and improved autonomously from production data. We’re hiring the first cohort of Forward Deployed Engineers to bring it into production at enterprise customers. You’ll own the deployment journey from first process file to a working, improving system, and hand off a functioning capability to the customer’s team. The code you write and the patterns you discover feed directly back into how the product is built. This is a rare opportunity to shape a product, a function, and a field practice from day one. You’ll work end-to-end across Java services and React interfaces, collaborating closely with a talented global team to measure, improve, and scale performance and fault tolerance in real-world distributed systems.
Must haves:
- Strong communications skills, this is a client facing professional service level role.
- Strong Software development and design fundamental knowledge backed by many years of industry experience, including Functional programming concepts.
- Experience building production grade AI products.
What You’ll Be Doing:
- Deploy and prove: own the end-to-end journey from first process file to a running, measurably improving production workflow.
- At 90 days: at least one workflow running, the improvement loop active, and measurable fitness gains the customer can see.
- At 12 months: 3–5 customers with viable deployments.
- Feed the product: You're building the product as you work with customers; this includes features, agents, and skill files. When you find a bug, you're empowered to fix it.
- Drive organisational adoption: work across technical and business stakeholders to turn early deployments into lasting customer capability.
- Work at technical depth: configure clusters, debug integration failures, and build custom agents where platform defaults don’t fit.
- Build the playbook: document what good looks like as you discover it and make the next deployment faster.
- Hand off deliberately: leave each customer team trained, independent, and able to act on improvement results without you.
Must Have Skills:
- Strong experience with compiled/Functional programming languages: ie: Java stack, Scala, RUST, C#, C++, or Golang.
- Enterprise production experience: you’ve shipped something inside a large organisation and stayed to see it operate. You know why governance and resilience matter at scale.
- Technical depth: you can debug an integration failure, write a custom agent against a legacy API, stand up a cluster from scratch, and explain generated BPMN to both engineers and business leads.
- Stakeholder communication: you work effectively across engineering, architecture, and business leadership and adapt how you communicate without losing precision.
- Practical AI experience: you’ve used AI to solve real problems in production – not just experimented. You understand context management, prompt engineering, agent testing, and integration tradeoffs.
- Comfort with ambiguity: you make sound judgment calls without a playbook and document what you learn.
- Occasional travel may be required.
Nice to Have Skills:
- Experience in a customer-facing engineering or professional services role.
- Familiarity with regulated industries such as financial services, healthcare, or insurance.
- Production experience with agentic systems or AI-integrated workflows.
- Contributions to a shared platform or open source project that others built on.
Forward Deployed Engineer / Sr. SW Engineer in Toronto employer: GuruLink
Join a forward-thinking company in downtown Vancouver that prioritizes innovation and employee well-being. With a hybrid work model, you’ll enjoy the flexibility of working three days a week in the office while collaborating with a talented team dedicated to building secure, scalable infrastructure. The company fosters a culture of continuous learning and growth, offering ample opportunities for professional development in an AI-first environment where your contributions directly impact the success of the organization.
