Senior AI Engineer – Gemini Enterprise

HaknaSoft; Montreal; Remote; CAD 120,000 - 180,000; Full time

Job summary

HaknaSoft, a Canadian technology consulting firm, seeks a Senior AI Engineer to design, develop, and operationalize enterprise AI solutions using Google Gemini Enterprise and GCP.

You will build AI agents, enterprise search experiences, and data integrations; collaborate with architects, data engineers, software engineers, product owners, and stakeholders to deliver secure, scalable AI capabilities in production.

Qualifications

• 5+ years of professional software engineering experience.
• 2+ years hands-on AI/ML or Generative AI development.
• Practical experience with Google Gemini Enterprise (formerly Google Agentspace).
• Strong Google Cloud Platform knowledge and enterprise cloud architecture.
• Hands-on with Gemini APIs and/or Vertex AI.
• Strong understanding of LLMs, RAG, embeddings, grounding, prompt engineering.
• Experience integrating AI with enterprise applications and data sources.
• Proficient in Python and/or C# (.NET).
• Experience developing REST APIs and cloud-native backend services.
• Knowledge of authentication, OAuth 2.0, OpenID Connect, and enterprise SSO.
• CI/CD, Git, automated testing, and modern software practices.
• Ability to investigate challenges and deliver production-quality implementations.
• Strong communication and cross-functional collaboration.

Responsibilities

• 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.
• Implement enterprise connectors and secure access to structured and unstructured information.
• Configure grounding, retrieval, and contextual data access to improve response accuracy and relevance.
• Support integration with enterprise identity providers and SSO solutions.
• Develop AI-powered features and services leveraging Google Cloud and Gemini APIs where appropriate.
• Design and implement Retrieval-Augmented Generation (RAG) solutions when required.
• Build backend services, APIs, and integration components connecting enterprise applications with AI capabilities.
• Implement agent-based workflows and tool integrations to support business processes.
• 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 BigQuery, Pub/Sub, IAM.
• Collaborate with Data Engineers to ensure reliable ingestion, synchronization, indexing, and access to enterprise data.

Skills

Python

LLMs / Generative AI

C#

REST APIs

Cloud-Native

Team Collaboration

Tools

Google Gemini Enterprise

Vertex AI

Google Cloud Platform (GCP)

SSO / IAM

Job description

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 Google Gemini Enterprise and Google Cloud Platform (GCP).

About the Role

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.

Key Responsibilities

• 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.
• Implement enterprise connectors and secure access to structured and unstructured information.
• Configure grounding, retrieval, and contextual data access to improve response accuracy and relevance.
• Support integration with enterprise identity providers and SSO solutions.
• Develop AI-powered features and services leveraging Google Cloud and Gemini APIs where appropriate.
• Design and implement Retrieval-Augmented Generation (RAG) solutions when required.
• Build backend services, APIs, and integration components connecting enterprise applications with AI capabilities.
• Implement agent-based workflows and tool integrations to support business processes.
• 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:
• BigQuery
• Pub/Sub
• IAM
• 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.

4. 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.

5. Engineering Excellence & Delivery

• 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.
• Troubleshoot integration and production issues.
• 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.

Required Qualifications

• 5+ years of professional software engineering experience.
• 2+ years of hands-on experience developing AI/ML or Generative AI solutions.
• Practical experience implementing or integrating Google Gemini Enterprise (formerly Google Agentspace).
• Strong experience with Google Cloud Platform and enterprise cloud architectures.
• Hands-on experience with Gemini APIs and/or Vertex AI.
• Strong understanding of LLMs, RAG, embeddings, grounding, prompt engineering, and agent-based architectures.
• Experience integrating AI solutions with enterprise applications and data sources.
• Strong programming skills in Python and/or C# (.NET).
• Experience developing REST APIs and cloud-native backend services.
• Understanding of authentication, authorization, OAuth 2.0, OpenID Connect, and enterprise SSO.
• 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.
• Strong communication skills and ability to collaborate with cross-functional teams.

Nice to Have

• Experience with Google Agent Development Kit (ADK).
• Experience with Agent2Agent (A2A) and Model Context Protocol (MCP).
• Experience with Google Cloud’s Agent Search and related enterprise search technologies.
• Experience integrating Gemini Enterprise with SharePoint and BigQuery.
• Knowledge of Okta and enterprise identity management.
• Experience with React and modern frontend development.
• Familiarity with Terraform and Infrastructure as Code.
• Experience implementing LLM evaluation frameworks, guardrails, and AI observability.
• Google Cloud certifications.
• Previous experience in financial services, banking, insurance, or wealth management.

What We Are Looking For

Beyond technical qualifications, we value engineers who demonstrate:

• Ownership: Take responsibility for solutions and deliverables from beginning to end.
• Pragmatism: Prioritize working, maintainable solutions over unnecessary complexity.
• Autonomy: Investigate challenges independently and bring forward actionable recommendations.
• Collaboration: Work constructively with architects, engineers, and business stakeholders.
• Quality: Balance delivery velocity with security, reliability, and engineering excellence.
• Continuous Learning: Stay current with rapidly evolving AI technologies and proactively identify practical opportunities to improve our platforms.

Why Join HaknaSoft?

• Work on meaningful enterprise AI initiatives in a sophisticated financial services environment.
• 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: 12 months

Location: Remote, within Canada.

Schedule: Full-time, 37.5 hours per week.