HaknaSoft is a Canadian technology consulting firm specializing in enterprise architecture, cloud engineering, data platforms, and end-to-end software delivery. We work with leading organizations to design, build, and modernize complex enterprise platforms using cloud-native technologies, modern engineering practices, and emerging AI capabilities. We are looking for an experienced Senior AI Engineer to join our engineering team and contribute to the implementation and evolution of enterprise AI solutions powered by As a Senior AI Engineer, you will be responsible for designing, developing, integrating, and operationalizing AI-powered capabilities within a complex enterprise environment. The role focuses on leveraging Gemini Enterprise to enable intelligent search, knowledge discovery, conversational AI, enterprise data connectivity, and AI-driven business workflows. You will collaborate closely with Solution Architects, Data Engineers, Software Engineers, Product Owners, and business stakeholders to translate business requirements into secure, scalable, and production-ready AI solutions. This is a hands-on engineering role requiring strong technical ownership, autonomy, and the ability to take solutions from initial design through production deployment. Design, configure, and implement enterprise AI capabilities using Google Gemini Enterprise. Develop and configure AI agents, enterprise search experiences, and conversational workflows. Integrate Gemini Enterprise with internal business applications and enterprise data sources. Configure grounding, retrieval, and contextual data access to improve response accuracy and relevance. Develop AI-powered features and services leveraging Google Cloud and Gemini APIs where appropriate. Build backend services, APIs,



and integration components connecting enterprise applications with AI capabilities. Develop reusable components and integration patterns to accelerate future AI initiatives. Evaluate and select appropriate approaches between native Gemini Enterprise capabilities and custom AI development. Integrate AI solutions with Google Cloud services, including: Connect enterprise data sources, including document repositories, databases, and collaboration platforms such as SharePoint. Collaborate with Data Engineers to ensure reliable ingestion, synchronization, indexing, and access to enterprise data. Security, Governance & Responsible AI Implement enterprise-grade authentication, authorization, and access control. Ensure AI solutions respect source-system permissions and data-access restrictions. Apply security and privacy controls for confidential and sensitive financial information. Implement logging, monitoring, auditability, and observability for AI integrations. Help establish AI governance practices, including data protection, response quality, evaluation, and responsible AI usage. Own assigned technical deliverables from design through production. Contribute to architecture discussions, technical design, and code reviews. Develop automated tests and validation strategies for AI-powered features. Evaluate AI responses for accuracy, relevance, grounding, and consistency.



Maintain technical documentation and contribute to engineering standards. Work within an Agile delivery model, participating in sprint planning, backlog refinement, daily stand-ups, demonstrations, and retrospectives. 5+ years of professional software engineering experience. 2+ years of hands-on experience developing AI/ML or Generative AI solutions. Hands-on experience with Gemini APIs and/or Vertex AI. Experience integrating AI solutions with enterprise applications and data sources. Strong programming skills in Python and/or C# (.
NET). Experience with CI/CD, Git, automated testing, and modern software engineering practices. Ability to independently investigate technical challenges, propose solutions, and deliver production-quality implementations. Experience integrating Gemini Enterprise with SharePoint and BigQuery. Experience with React and modern frontend development. Experience implementing LLM evaluation frameworks, guardrails, and AI observability. Beyond technical qualifications, we value engineers who demonstrate: Quality: Stay current with rapidly evolving AI technologies and proactively identify practical opportunities to improve our platforms. Work on meaningful enterprise AI initiatives in a sophisticated financial services workplace. Gain hands-on exposure to Google Gemini Enterprise and the broader Google Cloud AI ecosystem. Collaborate with experienced architects, engineers, and cloud specialists. Contribute directly to the design and implementation of production-grade AI solutions. Join a growing Canadian consulting firm that values technical ownership, collaboration, and engineering excellence. Contract: Remote, within Canada. Full-time, 37.5 hours per week. #

📌 Senior AI Engineer (Canada)
🏢 HaknaSoft
📍 Canada