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Mid-Level
Enterprise Agent Solutions Developer
Confirmed live in the last 24 hours
StackAdapt
Compensation
$100,000 - $115,000/year
Canada
Remote
Posted March 25, 2026
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.
We are seeking an Enterprise Agent Solutions Developer, who will be the hands-on expert responsible for designing, building, and deploying AI-powered automation and agent-based solutions to drive efficiency across enterprise SaaS business systems. You will independently design, prototype, and implement scalable & intelligent automation solutions that streamline cross-functional operations—spanning finance, sales, marketing, Legal, and HR—by integrating LLM-powered AI agents with tools like Salesforce, NetSuite, Workday, and other SaaS platforms. This role is ideal for someone who thrives in a high-growth tech environment, loves solving complex business problems with AI and automation, and can drive initiatives independently from concept to deployment.
What you'll be doing:
AI & Agent Development:
- Design and implement AI agents (LLM-driven copilots, taskbots, or autonomous agents) for real-time business process support and automation.
- Develop conversational interfaces, context-aware workflows, and agentic task execution using LLMs like OpenAI GPT-4, Gemini.
- Build prompt frameworks, RAG (Retrieval-Augmented Generation) pipelines, and fine-tuned models as needed for enterprise use cases
Intelligent Automation & Orchestration:
- Develop end-to-end automated workflows by orchestrating tasks across systems such as Salesforce, NetSuite, UKG, and other SaaS Apps.
- Leverage and extend platforms like Workato & Zapier for robust automation and event-driven orchestration.
- Integrate APIs, webhooks, and data services to enable seamless automation across siloed systems.
- Manage existing agents and changes needs from governance and audit perspective.
Cross-Functional Collaboration:
- Partner with business stakeholders and application owners to identify and scope high-impact automation opportunities.
- Translate business pain points into AI/automation solutions with clear measurable outcomes.
- Present prototypes, run demos, and gather iterative feedback to refine solutions for real-world usage.
Innovation & Delivery:
- Rapidly prototype AI solutions using internal tools and cloud AI platforms.
- Contribute to an internal library of reusable automations, agents, and orchestration patterns.
- Maintain high standards for automation quality, resilience, security, and observability.
- Stay current with trends in GenAI, SaaS automation, and orchestration tooling to ensure best-in-class implementations.
What you’ll bring to the table:
- 5+ years of experience in SaaS business systems and automation/integration, AI/ML solutions, or enterprise systems development.
- Strong proficiency in Python or Node.js, and experience working with APIs, webhooks, and orchestration frameworks.
- Hands-on experience with GenAI (OpenAI, Claude, Llama), LLM APIs, vector stores, and prompt engineering.
- Experience with enterprise AI/ML adoption, including architecture for intelligent automation and predictive analytics.
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