StackAdapt
Automation Engineer, Agentic Orchestration
Canada; United States · Junior
Sponsorship not specifiedDetected 42 days ago
PythonSQLNoSQLVector DatabasesAWSAPI DevelopmentGraphQLRESTMachine LearningTensorFlowPyTorchPandasNLPLLMsRAGAgentic AIPerformance MarketingOnboardingCustomer SupportSignal ProcessingProblem Solving
About the role
- StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
- The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
- StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe.
Responsibilities
- 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.
- 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-making, and system interactions.
- Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
- Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
- Mentor system admins and junior developers to build and configure AI Agents.
Requirements
- 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.
- Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
Nice to have
- Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
- A 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, but the focus is on modern AI-driven automation.
- Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
- Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
- A 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).
Compensation
- Highly competitive salary
Benefits
- 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
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- 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
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This listing is sourced directly from StackAdapt's careers page and normalized into a canonical job model.