We’re looking for a hands‑on Software Engineer to help build and scale the next generation of AI‑powered solutions. In this role, you’ll combine deep Generative AI engineering with direct customer impact, developing production‑grade applications that support field services, technical operations and the continued evolution of the AiDASH SaaS platform. Approximately 75% of your time will focus on designing, building and operating Generative AI solutions, including agentic automation platforms, product‑integrated GenAI capabilities and internal AI applications. The remaining 25% will involve partnering with electric‑utility customers to deliver tailored solutions, address operational needs and support data‑related work, including GIS data corrections. What you'll be doingGenerative AI Engineering | Approximately 75% Build and expand AiDASH’s proprietary agentic automation platforms, including the Virtual Field Services Engineer, which supports customer customization development with human review, and the Virtual Support Engineer, designed to scale technical support capabilities. Design and deliver Generative AI capabilities within the AiDASH SaaS product, contributing across the full development lifecycle, from technical design and development to testing, deployment and production support. Develop enterprise data assistants and conversational web experiences, including a customer 360 assistant that provides clear, reliable answers grounded in current data from internal APIs, SQL and NoSQL databases, documents and search indexes. Apply Generative AI to internal engineering operations, including the development of AI‑assisted DevOps tools. Integrate, evaluate and monitor LLMs in production, including prompt and model configuration, versioning, automated evaluation and rollback capabilities.



Track and continuously improve answer quality, source accuracy, latency, safety and cost. Implement robust authentication, authorization, tenant‑level data separation, audit logging, error handling, retries and observability for AI services handling enterprise data. Develop proofs of concept and MVPs, then help evolve the strongest solutions into secure, scalable and production‑ready applications. Contribute reusable tools, frameworks and engineering patterns that strengthen how AI applications are built and operated across AiDASH. Design and deliver customer‑specific customizations and product extensions using AiDASH APIs, including practical solutions for customer‑reported gaps. Support customer deployments through operational data work, including GIS and geospatial data corrections. Integrate AiDASH products with customer and third‑party systems, and support delivered solutions in production. Prepare clear technical documentation, deployment notes and product demonstrations for customers and internal teams. Partner with product, engineering, data science, security, skilled services and customer‑facing teams to define requirements, scope solutions and deliver high‑quality outcomes. Communicate technical decisions, dependencies and trade‑offs clearly to both technical and non‑technical stakeholders. Bring a collaborative and pragmatic approach to solving complex technical and customer challenges.



A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or an equivalent combination of education and relevant experience. 5+ years of professional software engineering experience. Hands‑on experience building and deploying production Generative AI or LLM applications, such as chatbots, assistants, retrieval‑augmented generation solutions, tool‑calling workflows or AI evaluation systems. Strong programming skills in Python and/or Java, with experience writing maintainable, well‑tested, production‑quality code. Experience developing web applications using React, TypeScript or JavaScript. Experience with AWS or an equivalent cloud platform, including containers, deployment pipelines, monitoring and production support. Experience working with SQL and NoSQL databases, search systems, queues and caching technologies. Experience delivering software for enterprise customers and integrating solutions with third‑party systems. The ability to communicate clearly and collaboratively with both technical and non‑technical stakeholders. Experience working with utility, energy, geospatial or GIS data. Familiarity with secure enterprise AI applications, AI observability or LLM evaluation frameworks. Experience moving AI proofs of concept into scalable production environments. We recognize that skills and competencies can be developed through a variety of experiences, both professional and personal. All applications are reviewed directly by our recruitment professionals, and no AI is used in the screening or selection process. The expected pay range is CAD 114,750
- CAD 162,000 per year. This pay range inclu

📌 Software - Cybersecurity - Senior Software Engineer (Winnipeg)
🏢 Schneider Electric
📍 Winnipeg