AI Engineer Specialist

Job Title: AI Engineer Specialist

Job Location: Toronto, ON

Job Type: Contract

Job Overview:

Requirement/Must Have:

• 4+ years of professional software engineering, application development, or systems analysis experience.
• Demonstrated experience delivering production software across the full software development lifecycle.
• Strong proficiency in TypeScript or JavaScript.
• Experience designing and consuming RESTful APIs and integrating distributed systems.
• Experience with cloud platforms, preferably AWS, including services, configuration, deployment, monitoring, or infrastructure automation.
• Experience with CI/CD pipelines, Git-based source control, automated testing, and DevSecOps practices.
• Ability to diagnose complex technical problems and deliver reliable, maintainable solutions.
• Experience working in an agile product or delivery team with multiple internal partners.
• Strong verbal and written communication skills, including the ability to explain technical topics to both technical and non-technical stakeholders.
• Ability to work independently, manage competing priorities, and deliver commitments in a changing environment.

Responsibilities:

• Design, develop, test, debug, document, and deploy secure software solutions for Digital Assistants and related conversational AI capabilities.
• Build and maintain integrations between chatbot experiences, SaaS platforms, enterprise APIs, customer-data services, contact-center capabilities, and other internal systems.
• Configure and extend conversational AI capabilities, including Cognigy-based flows, services, APIs, and supporting automation.
• Develop and maintain TypeScript/JavaScript services, API integrations, event-driven components, and cloud-based solutions.
• Contribute to AWS infrastructure, deployment pipelines, environment configuration, monitoring, and operational support.
• Apply DevSecOps practices throughout the delivery lifecycle, including source control, automated testing, code quality checks, CI/CD, vulnerability remediation, and release controls.
• Troubleshoot production and non-production issues using logs, monitoring, traces, test results, and other diagnostic tools.
• Identify root causes and implement durable fixes.
• Develop automated tests and regression coverage for bot behavior, APIs, integrations, and supporting services.
• Participate in solution design, story refinement, estimation, sprint planning, demonstrations, retrospectives, and peer reviews.
• Collaborate with engineers, contractors, product owners, UX professionals, architects, security partners, and business stakeholders to deliver high-quality outcomes.
• Create and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer materials.
• Identify opportunities to improve reliability, observability, automation, maintainability, performance, and developer productivity.
• Provide constructive technical guidance and peer support to other team members while operating within established team architecture and engineering direction.
• Support production releases, incident response, defect remediation, and after-hours support activities when required by the team.

Nice to Have:

• Experience with Cognigy or another enterprise conversational AI, chatbot, virtual-assistant, or customer-service automation platform.
• Experience integrating chatbots with contact-center platforms, live-chat capabilities, Genesys, session management, authentication, or customer-data services.
• Experience with Amazon Bedrock and LLM integration: Bedrock, Agentcore.
• Experience with AWS serverless, API management, infrastructure as code, observability, or application performance monitoring.
• Experience with AWS cloud development: Lambda, S3, DynamoDB, IAM, KMS, and CloudWatch.
• Experience building automated regression suites and test tooling for conversational experiences and integrations.
• Experience with enterprise security controls, PII-aware design, vulnerability remediation, and secure API development.
• Insurance, financial services, retirement solutions, or other regulated-industry experience.
• Experience mentoring peers, leading feature-level technical execution, or coordinating delivery across multiple teams.

Skills:

• Conversational AI.
• Cognigy AI.
• TypeScript.
• JavaScript.
• Python.
• Java.
• C#.
• RESTful APIs.
• AWS.
• CI/CD.
• Git.
• DevSecOps.
• Amazon Bedrock.
• LLM.
• Lambda.
• S3.
• DynamoDB.
• IAM.
• KMS.
• CloudWatch.

Qualification And Education:

• Four or more years of professional software engineering, application development, or systems analysis experience.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities