AI Automation Developer

AI Automation Developer

Department: Information Technology

Employment Type: Full Time

Location: Calgary, AB, Canada

Description Equinox Engineering is seeking a hands-on AI Automation Developer to design and build practical, AI-driven internal tools that improve workflows across the organization. This role focuses on delivering production-ready solutions that integrate into real operational pr...ocesses rather than exploratory or research-based development.

The successful candidate will work closely with internal teams to translate operational challenges into working software.

Adaptability and the ability to rapidly solve real-world problems are key expectations of this role. leveraging modern generative AI technologies alongside full-stack development practices.

Comfort using and guiding AI agents as part of the development workflow is essential.

Key Responsibilities

• Design and implement internal tools using an AI-first development approach
• Translate operational requirements into working, maintainable applications
• Develop backend services, APIs, and user interfaces
• Combine prompts, logic, validation, and error handling into reliable workflows
• Integrate solutions with existing systems and databases
• Collaborate directly with users to iterate and improve tools based on feedback
• Manage imperfect real-world inputs and edge cases

The specific work will vary based on business needs and may include development of:

• Software that interprets technical documents or drawings
• Workflow automation tools
• Internal assistants and copilots
• Data extraction and validation utilities
• Small internal web applications
• Process-specific automation tools
• Structured information generation solutions
• Adaptability and rapid problem-solving are key expectations of this role.

Skills, Knowledge and Expertise Practical AI Development

• Experience building applications using large language model (LLM) APIs (e.g., OpenAI, Gemini, Anthropic, or local models)
• Experience with structured outputs and reliability techniques
• Document and image understanding workflows
• Retrieval-based systems and context management

Software Development

• Python backend development
• Containerized development using Docker
• TypeScript frontend development with modern frameworks
• REST API design and data modeling
• Experience with relational and vector databases
• Version control using Git and basic deployment practices
• Knowledge graph (KG) development

Working Style

• Comfortable working in ambiguous problem spaces
• Ability to build quickly and iteratively
• Focus on delivering practical, usable solutions
• Strong debugging and problem-solving skills

Helpful but Not Required

• Experience with technical or industrial environments
• OCR, parsing, or computer vision
• Embeddings
• Internal tool development experience

What Success Looks Like Within the first months, you are independently delivering working tools that staff adopt in day-to-day tasks and that measurably reduce manual work.