[All remote jobs](https://jobicy.com/jobs.md)[![StackAdapt logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/bf5f2bb689c6f35f6cab5459f3eff869.jpg)](https://jobicy.com/company/stackadapt.md)[StackAdapt](https://jobicy.com/company/stackadapt.md) # Automation Engineer, Agentic Orchestration AI Summary StackAdapt is seeking an Automation Engineer to design and operate agentic AI systems that automate complex business processes. The role combines LLM-based application development, enterprise integrations, API and middleware engineering, and production reliability practices. The engineer will build AI agents using cloud AI services, RAG components, vector databases, and conversational AI frameworks while establishing evaluation and monitoring systems. This position also requires close collaboration with business stakeholders and mentorship of administrators and junior developers.[Apply for this job](#job-application)[View company](https://jobicy.com/company/stackadapt.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 128k–176k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceEntry-Level, JuniorPublished4 Nov 2026Apply before4 Dec 2026Listing views34Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. 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. ### What We’re Looking For: 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-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. ### What you’ll bring to the table: * 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). * Familiarity with database technologies (SQL and NoSQL).A creative and analytical mindset with passion for solving complex problems through automation. * Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team. * Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience. The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. Factors Influencing Final Compensation: * The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate’s specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. * Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Canada Base Salary Band $140,000—$192,500 CAD USA Base Salary Band $128,000—$176,000 USD ### StackAdapter’s Enjoy: * 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 for those who want a change from their home office and hubs in London and Toronto * 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 * A friendly, welcoming, and supportive culture * Our social and team events! Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. StackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. About StackAdapt We’ve been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We’ve been awarded: [G2 Top Software for 2026](https://www.stackadapt.com/resources/blog/g2-2026-best-software-awards) [2026 Best Workplaces™ for Young Talent](https://www.greatplacetowork.ca/en/bestworkplaces/best-workplaces-for-young-talent/2026) and [in Canada](https://www.stackadapt.com/resources/blog/great-place-to-work-best-workplaces-canada-2026) by Great Place to Work® [#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising](https://www.stackadapt.com/resources/blog/best-cross-channel-advertising-platform) [2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards](https://www.stackadapt.com/resources/blog/adweek-tech-stack-awards-2026) To learn more about our privacy practices, please see our [Privacy Policy](https://www.stackadapt.com/legal-document-centre/website-and-platform-user-privacy-policy). #LI-REMOTE Show more [Apply now >](https://jobicy.com/jobs/158914-automation-engineer-agentic-orchestration.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior-level engineering role spanning AI agent design, enterprise integration, security, evaluation, and production operations. Success requires both deep technical judgment and the ability to translate ambiguous business workflows into dependable automation systems. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$152,000US market range (per year)$135k–$190k0$209.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USA base-salary range of $128,000–$176,000 USD. The yearly cadence is inferred from the professional full-time role and stated base-salary band; the posting does not explicitly state an annual pay period. Estimated US market compensation for a comparable AI automation engineering role is $135,000–$190,000 USD per year, excluding bonus and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic%20AI.md)[LangChain](https://jobicy.com/jobs?search_keywords=LangChain.md)[LlamaIndex](https://jobicy.com/jobs?search_keywords=LlamaIndex.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[Vector Databases](https://jobicy.com/jobs?search_keywords=Vector%20Databases.md)[Natural Language Processing](https://jobicy.com/jobs?search_keywords=Natural%20Language%20Processing.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[GraphQL](https://jobicy.com/jobs?search_keywords=GraphQL.md)[Enterprise Integration](https://jobicy.com/jobs?search_keywords=Enterprise%20Integration.md)[Workato](https://jobicy.com/jobs?search_keywords=Workato.md)[MuleSoft](https://jobicy.com/jobs?search_keywords=MuleSoft.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[AI Evaluation](https://jobicy.com/jobs?search_keywords=AI%20Evaluation.md) Sample interview questionsHow would you design an agentic workflow to automate a multi-step business process across a CRM and internal database?I would begin by mapping the workflow, decision points, data owners, exceptions, and required approvals with stakeholders. I would define narrowly scoped agents and deterministic tools for CRM and database actions, orchestrate them through a stateful workflow, and use authenticated APIs with audit logs. I would add human escalation for low-confidence or high-impact actions and monitor success, latency, cost, and error rates. What techniques would you use to make an LLM-based agent reliable in production? I would use structured outputs, schema validation, constrained tool access, deterministic business rules, retries, idempotency, and clear fallback paths. I would build an evaluation suite covering representative normal, edge-case, and adversarial inputs, then monitor production traces and user feedback. For critical actions, I would use confidence thresholds and human review. How would you implement a RAG system for internal operational knowledge? I would ingest approved sources, clean and chunk documents based on their semantic structure, generate embeddings, and store them with metadata and access controls in a vector database. Retrieval would use hybrid search and reranking where appropriate, and prompts would require cited context rather than unsupported answers. I would evaluate retrieval relevance, answer faithfulness, freshness, and permission enforcement continuously. Describe how you would evaluate whether a new AI automation is delivering business value. I would establish a baseline for the current process, including completion time, error rate, rework, cost, and user satisfaction. I would define measurable targets, run staged pilots, and compare automated outcomes with human-reviewed ground truth. I would also track operational metrics such as tool failures, model cost, latency, escalation rate, and safety incidents. How do you approach mentoring junior developers who are building AI agents? I set clear design standards for prompts, tool interfaces, testing, security, and observability, then pair on early implementations and code reviews. I encourage small, measurable prototypes before production changes and explain the tradeoffs behind architectural decisions. I also help developers build evaluation habits so they can validate agent behavior rather than relying on anecdotal demonstrations. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Caylent logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/9ed8d81b-221.jpg) Caylent Nov 4 New ### [Frontend Architect](https://jobicy.com/jobs/158912-frontend-architect-2.md) Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. 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