AdTechTalent
Engineering18 days agoRemote

StackAdapt

Enterprise Agent Solutions Developer

AIautomationLLMGPT-4GenAIPythonNode.jsSalesforceNetSuiteWorkdayWorkatoZapierprompt engineeringRAGenterprise SaaSorchestrationAPIswebhooks

Key details

Salary

CA$100K – CA$115K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Canada

Full job description

StackAdapt is hiring a senior Enterprise Agent Solutions Developer to design, build, and deploy AI-powered automation and agent-based solutions for enterprise SaaS systems. The role involves creating scalable AI agents using LLMs (e.g., OpenAI GPT-4, Gemini) to automate business processes across finance, sales, marketing, legal, and HR by integrating platforms like Salesforce, NetSuite, and Workday. Responsibilities include developing conversational interfaces, building prompt frameworks and RAG pipelines, orchestrating workflows with tools like Workato and Zapier, and collaborating with stakeholders to deliver measurable automation solutions. Candidates must have 5+ years of experience in SaaS automation, proficiency in Python or Node.js, hands-on experience with GenAI and LLM APIs, and strong skills in API integration and orchestration. The position is full-time, remote, and based in Canada, offering a salary range of $100,000 to $115,000 CAD plus benefits.

What you'll do

  • Design and implement AI agents (LLM-driven copilots, taskbots, 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 and Gemini
  • Build prompt frameworks, RAG pipelines, and fine-tuned models for enterprise use cases
  • 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 and Zapier for automation and event-driven orchestration
  • Integrate APIs, webhooks, and data services for seamless automation across siloed systems
  • Manage existing agents and changes from governance and audit perspectives
  • Partner with business stakeholders and application owners to identify and scope high-impact automation opportunities
  • Translate business pain points into AI/automation solutions with measurable outcomes
  • Present prototypes, run demos, and gather iterative feedback to refine solutions
  • 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

Requirements

  • 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
  • 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
  • Ability to own initiatives end-to-end from problem discovery to production rollout
  • Experience building workflows or automations with platforms like Workato, Zapier, or custom orchestration frameworks
  • Experience optimizing workflows in domains like revenue operations, finance close, customer onboarding, or employee lifecycle
  • Ability to run demos, collect stakeholder feedback, and iterate quickly in an agile environment
  • Strong business acumen to translate operational inefficiencies into scalable automation solutions
  • Excellent communication skills for a fully-remote high-growth environment
  • Excellent problem-solving, analytical, and leadership skills

Tech stack

PythonNode.jsOpenAI GPT-4GeminiLLM APIsvector storesprompt engineeringSalesforceNetSuiteWorkdayWorkatoZapierAPIswebhooksRAG pipelines

Benefits

Highly competitive salaryRetirement/401K/Pension Savings globallyCompetitive paid time off packages including birthdays offAccess to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership (London and Toronto hubs)Robust training and onboarding programSupport for personal development initiatives (conferences, courses, books)Access to StackAdapt programmatic courses and certificationsParental leave programFriendly, welcoming, and supportive cultureSocial and team events

Apply now

This MVP uses a placeholder application flow. In production, this section can connect to an external apply URL or a native application form.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.