Closed listing
AI & Automation Engineer
- Calgary, AB, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- 3+ years of relevant software, automation, data, or AI engineering experience, including practical delivery of production-quality solutions.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
TEKTELIC is building practical, secure AI-enabled workflows across its business. We are looking for a hands-on AI specialist to establish the technical foundation for this work and deliver useful AI agents and automations that improve productivity across sales, customer support, marketing, operations, finance, and engineering.
This is an implementation-focused role. You will work with business owners, IT/security, and technical teams to turn high-value workflows into reliable, governed AI solutions with measurable results.
Responsibilities
- Design and implement AI agents and workflow automations for internal business and engineering use cases.
- Establish a secure, centralized TEKTELIC knowledge base using approved business, product, support, and engineering content.
- Build retrieval-augmented generation (RAG) solutions, including document ingestion, indexing, source traceability, access controls, and evaluation.
- Deliver initial high-value pilots such as proposal generation, customer-support assistance, technical/product-answer agents, marketing support, and operations/procurement workflows.
- Integrate AI solutions with approved company systems, such as CRM, SharePoint or Google Drive, databases, support-ticketing systems, ERP/MRP tools, email, product documentation, and engineering repositories.
- Define and implement governance controls: role-based access, customer-data protection, human approval workflows, audit logs, version-controlled knowledge sources, and clear operating boundaries for AI.
- Work with IT and security stakeholders to select appropriate AI platforms, models, integration patterns, and deployment approaches.
- Measure and report business value, including proposal turnaround time, support response time, reduction in repeated questions, reporting effort, and workflow-cycle time.
- Create reusable standards, documentation, and implementation patterns so additional department-specific agents can be deployed efficiently.
- Provide technical guidance to internal users and help develop TEKTELIC’s longer-term AI roadmap.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3+ years of relevant software, automation, data, or AI engineering experience, including practical delivery of production-quality solutions.
- Hands-on experience building AI applications using LLMs, tool calling, agent workflows, and RAG.
- Strong Python skills; experience with APIs, databases, data pipelines, and system integration.
- Experience connecting AI applications to business systems and document repositories.
- Understanding of secure software design, authentication, authorization, data privacy, auditability, and human-in-the-loop workflows.
- Ability to translate business processes into well-scoped technical solutions and communicate clearly with both technical and non-technical stakeholders.
- Practical, outcome-oriented approach: able to start small, validate value, and scale successful solutions.
Preferred Qualifications
- Experience with OpenAI, Anthropic or comparable LLM platforms and agent frameworks.
- Experience with vector databases, hybrid search, evaluation frameworks, and AI observability.
- Experience deploying AI systems on AWS or similar cloud platforms.
- Familiarity with enterprise content management, CRM, support-ticketing, ERP/MRP, or engineering-documentation systems.
- Experience supporting industrial IoT, telecommunications, embedded systems, or B2B technology organizations.
- Experience establishing AI governance or internal AI adoption programs.
Why join us
- Drive AI adoption across all departments and see your impact throughout the organization.
- Competitive salary and bonus program.
- Health, dental, vision, and life insurance.
- Paid vacation and a flexible work schedule.
- Work on real hardware and software used in IoT deployments around the world.
More about this job
Responsibilities
Design and deliver secure AI agents, RAG solutions, and workflow automations for business and engineering teams, integrating them with approved company systems and knowledge sources. Establish governance and reusable implementation standards, measure business outcomes, guide internal users, and contribute to the company’s AI roadmap.
Requirements
Requires a bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, plus at least three years of relevant software, automation, data, or AI engineering experience. Candidates need practical experience delivering production-quality LLM, agent, and RAG applications, strong Python and integration skills, and an understanding of security, privacy, and human approval workflows.
Skills
- Python
- Large Language Models
- AI Agent Workflows
- Retrieval-Augmented Generation
- Workflow Automation
- API Integration
- Database Integration
- Data Pipelines
- Vector Databases
- Hybrid Search
- AI Evaluation
- AI Observability
- Cloud Deployment
- Secure Software Design
- Access Control
- Human-in-the-Loop Workflows
Benefits
- Competitive Salary and Bonus Program
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Paid Vacation
- Flexible Work Schedule
Visa sponsorship
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Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Artificial Intelligence
- Automation
- Python
- Large Language Models
- Tool Calling
- AI Agents
- Agent Frameworks
- Retrieval-Augmented Generation
- Document Ingestion
- Indexing
- Source Traceability
- Vector Databases
- Hybrid Search
- Evaluation Frameworks
- AI Observability
- APIs
- Databases
- Data Pipelines
- System Integration
- OpenAI
- Anthropic
- AWS
- SharePoint
- Google Drive
- CRM
- ERP/MRP
- Support Ticketing Systems
- Role-Based Access Control
- Data Privacy
- Human-in-the-Loop