AI Automation Engineer – LLM & Agentic Systems

StackAdapt; United States; Remote; USD 128,000 - 176,000; Full time

Benefits offered by this job

401K / Pension Savings

Health benefits from day one

Work-from-home reimbursements

WeWork option

Training & development

Parental leave

Job summary

StackAdapt is seeking an AI Automation Engineer specializing in LLM and agentic systems for a fully remote role in the United States. The candidate will own end-to-end AI agent development, connect AI capabilities to enterprise apps, and mentor junior engineers in a fast-growing adtech ecosystem.

Base USD salary ranges from $128k to $176k with potential equity and bonuses. Strong background in Python, LangChain, LLM APIs, and enterprise integrations is required.

Qualifications

• Experience with AI cloud services and LLM APIs from major providers.
• Strong business process analysis and re-engineering skills.
• Solid understanding of NLP/ML and ML principles.
• Experience with enterprise integration platforms and RPA is a plus.

Responsibilities

• Collaborate with stakeholders to analyze workflows for AI-driven automation.
• Oversee lifecycle of AI agent development from design to production.
• Ensure security, scalability, and reliability of AI agents.
• Design integrations with CRMs/ERPs and internal databases.
• Develop connectors, APIs, and middleware for data exchange.
• Mentor admins and junior developers in building AI agents.

Skills

LLM APIs

Python

LangChain

LlamaIndex

Pandas

TensorFlow

PyTorch

NLP

RAG systems

Education

CS/IT degree

Tools

Workato

MuleSoft

Boomi

UiPath

Automation Anywhere

Blue Prism

Job description

AI Automation Engineer - LLM & Agentic Systems - Remote

A High-Signal Role for the AI Engineering Wave: Agentic Orchestration is one of the fastest-growing engineering specializations in 2024-2025. This role puts you at the bleeding edge of LLM-powered workflow automation - experience with LangChain, RAG pipelines, and multi-agent systems is becoming the most sought-after skill set in enterprise tech.

Compensation vs. Market: The USD band ($128k-176k base) is competitive to slightly above median for a mid-to-senior AI/automation engineer in North America, where comparable roles at tech companies typically range $120k-160k. The addition of equity, bonuses, and commissions could meaningfully push total compensation higher.

• You'll own the full lifecycle of AI agent systems - a rare breadth that accelerates progression toward Staff Engineer or AI Architect roles.
• Mentoring responsibilities signal seniority expectations and create a path toward engineering management.
• Exposure to enterprise integrations (CRM, ERP, MuleSoft, Workato) adds business-systems credibility alongside pure ML skills.

Company Stage: StackAdapt is a growth-stage, venture-backed adtech scale-up with significant industry recognition (G2, Great Place to Work). This suggests startup velocity with some enterprise stability - a sweet spot for engineers who want impact without pure early-stage risk.

Green Flags: No salary history requests, explicit DEI commitments, transparent pay bands, and a broad benefits package. Watch for: adtech industry cyclicality and the fact that the role is relatively new (agentic AI tooling is still maturing), so expect ambiguity and fast-changing requirements.

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 a 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.

• 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

• 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
• 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.

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Is this Automation Engineer role fully remote? Yes, the role is tagged #LI-REMOTE and is fully remote. However, candidates must be located in either Canada or the USA, as those are the only countries listed for this position. What is the salary range for this role? The base salary band is $128,000–$176,000 USD for US-based candidates and $140,000–$192,500 CAD for Canada-based candidates. Additional compensation may include annual bonuses, commissions, and equity awards. What AI frameworks and tools are required for this position? The role requires hands‑on experience with LLM APIs (e.g., OpenAI, Google Vertex AI, AWS Bedrock), Python AI/ML libraries such as LangChain and LlamaIndex, vector databases, RAG systems, and enterprise integration platforms like Workato or MuleSoft. Does StackAdapt offer coworking or home office support? Yes, StackAdapt provides work-from-home reimbursements and an optional global WeWork membership, giving remote employees flexible access to coworking spaces worldwide. What level of experience is expected for this role? The role expects a senior-level engineer with demonstrable experience across AI cloud services, enterprise integrations, and Python-based ML development, plus the ability to mentor junior developers and system admins.

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