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StackAdapt

Automation Engineer, Agentic Orchestration

StackAdapt

. Collaborate with business stakeholders to analyze existing workflows and identify opportunities for intelligent, AI-driven automation .

Posted 11/4/2026full-timeRemote • Canada, United StatesMid-LevelSenior💰 CA$140,000 - CA$192,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-driven automation, including the development and integration of AI agents with a focus on Natural Language Processing and enterprise systems. Proficient in Python and familiar with cloud AI services, ensuring security and reliability in AI applications.

Highest-signal resume keywords
AI Services ExperienceNatural Language Processing (NLP)Python ProficiencyAPI Design PrinciplesBusiness Process Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Agent DevelopmentData ExtractionMachine Learning PrinciplesConversational AI PlatformsCustom ConnectorsMiddleware DevelopmentPerformance TuningQuality Control SystemsEmbedding ProcessesVector Databases
Soft Skills
Creative MindsetAnalytical Problem-SolvingCross-Functional CollaborationMentoringEntrepreneurial Approach
Tools & Technologies
OpenAIGoogle Vertex AIAWS BedrockWorkatoMuleSoftUiPathAutomation AnywhereBlue PrismLangChainTensorFlow
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Information Technology
Industry Keywords
AI-Driven AutomationEnterprise IntegrationRPA PlatformsChatbotsVirtual Assistants

Tech Stack

Tools & technologies
AWSCloudGraphQLNoSQLPandasPythonPyTorchRPASQLTensorflow

About the role

Key responsibilities & impact
  • Collaborate with business stakeholders to analyze existing workflows and identify opportunities for intelligent, AI-driven automation
  • Oversee the AI agent development lifecycle from design and prototyping through testing, deployment, configuration, and production lifecycle management
  • Ensure AI agent security, scalability, and reliability through monitoring and performance tuning
  • Design and implement integrations connecting AI agents and models with CRMs, ERPs, and internal databases
  • Design and implement evaluation systems for quality control and continuous improvement
  • Build and configure AI agents for natural language understanding, data extraction, decision-making, and system interactions
  • Develop custom connectors, APIs, and middleware for data exchange and process automation
  • Explore and evaluate new AI technologies and tools
  • Mentor system administrators and junior developers in building and configuring AI agents

Requirements

What you’ll need
  • Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs
  • Solid understanding of business process analysis and re-engineering
  • Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles
  • Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi)
  • Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus
  • Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants
  • Proficiency in Python and associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch)
  • Solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs
  • Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML)
  • Familiarity with database technologies (SQL and NoSQL)
  • Creative and analytical mindset with passion for solving complex problems through automation
  • Entrepreneurial approach, strong builder with excellent problem-solving skills and ability to work effectively in a cross-functional team
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience

Benefits

Comp & perks
  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • Our social and team events!