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.
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
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads video game quality assurance strategy, teams, testing coverage, and processes. Assigns workloads, oversees test plans and risk assessments, reviews bug reports, supports integration and smoke testing, investigates technical issues using debugging tools and logs, and collaborates with developers, designers, producers, and stakeholders to maintain build stability and improve QA workflows, tools, dashboards, and quality standards.
Top Skills:
DevtrackGitHansoftJIRAPerforceUnityUnreal
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Analyze product, customer, risk, and support data to guide decisions across Block’s platforms. Own metrics, forecasting, staffing models, experiments, visualizations, and measurement frameworks. Evaluate risk models and policies for performance, bias, and drift; use AI tools and agent workflows to improve analytical execution. Partner with product, engineering, and risk stakeholders, lead technical standards, build reusable tooling, mentor data scientists, and contribute to hiring.
Top Skills:
Agent WorkflowsAi ToolsData VisualizationSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Partner with R&D and engineering leaders to manage Cloud, Cellular, and AI infrastructure costs. Analyze financial results, produce management reporting, support month-end close, build forecasts, improve reporting models, develop performance KPIs, and drive annual operating plan planning. The role also involves cost optimization, financial modeling, cross-functional collaboration, and using AI tools to streamline reporting and analysis.
Top Skills:
Advanced ExcelAWSChatgptClaudeCursorDatabricksGeminiGleanGoogle SheetsIotNetSuiteSaaSWorkday Adaptive Planning
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
