StackAdapt

Technology

AutomationEngineer,AgenticOrchestration

CA$135–185k ~AI est. Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Automation Engineer, Agentic Orchestration at StackAdapt. Skills: Agentic Orchestration, AI Automation, LLM APIs, Python. Collaborate with stakeholders. Analyze existing workflows”

What You'll Achieve.

Design autonomous agentic systems; Deploy autonomous agentic systems; Manage complex business processes; Execute complex business processes

Industry & Context.

Technology
Problems you'll solve

Solving complex problems

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Equivalent practical experience, Demonstrable experience with AI services, Hands-on experience with LLM APIs, Solid understanding of business process analysis, Solid understanding of NLP, Solid understanding of LLMs, Solid understanding of ML principles, Hands-on experience with conversational AI platforms, Proficiency in Python, Proficiency in associated AI/ML libraries, Solid understanding of embedding processes, Solid understanding of vector databases, Solid understanding of RAG systems, Solid understanding of knowledge graphs, Understanding of API design principles, Understanding of data formats, Familiarity with database technologies

Nice to Have

Experience with enterprise integration platforms, Experience with RPA platforms

What You'll Do.

Collaborate with stakeholders

Analyze existing workflows

Document automation opportunities

Oversee AI agent lifecycle

Manage AI solutions in production

Ensure AI agent security

Ensure AI agent scalability

Ensure AI agent reliability

Monitor AI agent performance

Tune AI agent performance

Design integration solutions

Implement integration solutions

Connect AI agents to systems

Connect AI models to systems

Design evaluation system

Implement evaluation system

Perform natural language understanding

Perform data extraction

Perform decision-making

Perform system interactions

Develop custom connectors

Facilitate data exchange

Facilitate process automation

Explore new AI technologies

Evaluate new AI tools

Mentor junior developers

How You'll Work.

Team & Collaboration

Cross-functional team; Business stakeholders

Full Job Description

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency. What you'll be doing: Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation. Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning. Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases. Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement. Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-mak

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