Nexaminds Logo

Nexaminds

AI Forward Deployed Engineer (Sr/Principal)

Posted 11 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Design, build, and deploy production-grade AI applications, integrations, pipelines, and agentic workflows for customers. Lead discovery, prototyping, architecture workshops, technical troubleshooting, and customer go-lives. Integrate LLMs, retrieval systems, tools, and orchestration into enterprise environments, establish reusable engineering patterns, mentor customer-facing engineers, and translate customer feedback into product and engineering priorities.
The summary above was generated by AI

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Nexaminds is looking for a Senior/Principal AI Forward Deployed Engineer to work at the intersection of engineering, product, and customers. In this role, you'll work directly with customer teams to design, build, and deploy AI-powered solutions using modern LLM and agentic technologies. You'll turn ambiguous business and technical challenges into production-ready systems while helping shape product and engineering priorities based on real-world customer needs.

Location: Canada (Remote)

Qualifications we are looking for:

  • 8+ years of professional software engineering experience, with significant experience building and deploying production systems.
  • Hands-on experience working with LLMs and modern AI/agentic architectures, including prompting, evaluation, retrieval, tool use, and orchestration.
  • Proven experience working directly with customers or internal stakeholders to define ambiguous problems and deliver production-ready solutions.
  • Strong full-stack engineering capabilities, with experience across backend systems, APIs, integrations, and data pipelines.
  • Experience designing and building scalable, production-grade AI-powered applications.
  • Strong understanding of software architecture, cloud technologies, APIs, integrations, and distributed systems.
  • Excellent communication skills, with the ability to lead technical discussions and workshops with both engineering teams and business stakeholders.
  • Strong ownership and problem-solving skills, with a bias toward action and iterative delivery.
  • Comfortable working independently in ambiguous, fast-paced environments and managing multiple projects simultaneously.
  • Willingness to travel to customer sites as needed.

Nice to have:

  • Experience in Forward Deployed Engineering, Solutions Engineering, or Field Engineering within an enterprise software or AI company.
  • Experience deploying AI solutions in regulated or complex enterprise environments.
  • Familiarity with security reviews, data governance, and legacy system integrations.
  • Experience with AI evaluation frameworks, vector databases, RAG, or AI orchestration platforms.
  • Proven experience providing product feedback that directly influenced product or engineering roadmaps.

Job duties:

  • Work directly with customers as a technical owner to understand their data, workflows, systems, and business requirements.
  • Design and build production-grade AI applications, integrations, pipelines, and workflows that connect Nexaminds' AI/LLM capabilities with customer systems.
  • Rapidly prototype AI solutions with customers, gather feedback, and transform successful prototypes into reliable production systems.
  • Integrate LLMs, AI agents, retrieval systems, tools, and orchestration workflows into customer environments.
  • Diagnose and resolve complex technical issues across AI models, infrastructure, integrations, and customer-specific systems.
  • Lead technical workshops and architecture discussions with customer engineering and technical leadership.
  • Establish reusable technical patterns, components, and best practices across multiple customer deployments.
  • Act as the technical voice of the customer internally, translating field learnings into actionable feedback for Product and Engineering.
  • Partner with Product, Sales Engineering, Customer Success, and Engineering teams to ensure successful customer deployments.
  • Mentor other forward-deployed and customer-facing engineers and help raise technical standards across the team.
  • Support customer go-live milestones and travel to customer sites when required.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

  • Stock options 📈
  • Remote work options 🏠
  • Flexible working hours 🕜
  • Benefits above the law
  • But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
  • You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!

Similar Jobs

Yesterday
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript
Yesterday
Easy Apply
Remote
Canada
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.
Top Skills: Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript
Yesterday
Remote or Hybrid
Canada
Senior level
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Design and coordinate electrical systems for commercial, industrial, laboratory, and technical facilities from concept through construction. Lead Revit/BIM-based design, coordinate external engineering firms and vendors, review documentation, support budgeting and commissioning, and maintain design intent. Provide expertise in power distribution, lighting, low-voltage systems, equipment integration, safety compliance, facility troubleshooting, and energy-efficient building systems.
Top Skills: AutocadBimBluebeamBuilding Automation Systems (Bas)Electrical EquipmentFire Alarm SystemsHvac ControlsLighting SystemsLow-Voltage SystemsMs ProjectNecNfpaOshaPower Distribution SystemsRevit

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme MontrĂ©al)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement QuĂ©bec, Fonds de solidaritĂ© FTQ
  • Research Centers and Universities: McGill University, UniversitĂ© de MontrĂ©al, Concordia University, Mila Quebec, ÉTS MontrĂ©al

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account