Autom

About the Role

Build and deploy autonomous AI agent systems that integrate with enterprise applications to automate complex business processes. The role focuses on designing, prototyping, and operating agentic orchestration solutions, ensuring security, scalability, and continuous improvement.

Building AI agentic systems and tooling with LLM APIs, LangChain/LlamaIndex and vector DBs — directly aligned with vibe coding and AI-first prototyping.

Location: Canada, USA

Salary: USD 128,000 - 176,000/year

Type: {Full-Time}

Posted: 1 days ago

Category: AI/ML & Data

Vibe Markers: 💻 Open Source, 🔥 Hot

Experience Level: Senior

Job Description

Role

Automation Engineer, Agentic Orchestration — design, build, and operate autonomous AI agent systems that connect LLMs and agent frameworks to enterprise systems (CRMs, ERPs, databases) to automate complex, non-repetitive business processes.

Key Responsibilities

• Collaborate with business stakeholders to analyze existing workflows and identify opportunities for AI-driven automation.
• Oversee the full lifecycle of AI agent development: design, prototyping, testing, deployment, configuration, monitoring, and maintenance.
• Ensure security, scalability, reliability, and performance tuning of agentic systems in production.
• Design and implement integrations and connectors (APIs, middleware) between AI agents and enterprise systems.
• Build and configure agents for tasks like natural language understanding, data extraction, decision-making, and multi-system interactions.
• Develop evaluation and quality-control systems for continuous improvement of agent behavior.
• Mentor system administrators and junior developers working on AI agent configuration and deployment.
• Continuously research and evaluate new AI technologies and tools to drive automation innovation.

Requirements

• Demonstrable experience with AI services and LLM APIs from major providers (examples: OpenAI, Google Vertex AI, AWS Bedrock).
• Hands-on experience with LLM tooling and associated AI/ML libraries and frameworks.
• Solid understanding of NLP, large language models, embeddings, vector databases, RAG systems, and knowledge graphs.
• Experience with enterprise integration platforms (examples: Workato, MuleSoft, Boomi); familiarity with RPA platforms (UiPath, Automation Anywhere, Blue Prism) is a plus.
• Proficiency in Python and AI/ML libraries (examples: LangChain, LlamaIndex, Pandas, TensorFlow, PyTorch).
• Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
• Familiarity with SQL and NoSQL database technologies.
• Experience in business process analysis and re-engineering, and strong problem-solving and cross-functional collaboration skills.
• Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.

Compensation

• Canada base salary band: $140,000—$192,500 CAD
• USA base salary band: $128,000—$176,000 USD

(These represent base salary ranges; other compensation such as bonuses or equity may be available.)

Benefits

• Competitive base salary
• Retirement / 401(k) / pension savings (global)
• Paid time off (including birthday off)
• Mental health care program
• Health benefits from day one
• Work-from-home reimbursements
• Optional global WeWork membership (hubs in London and Toronto)
• Training, onboarding, and support for continuous professional development
• Parental leave program
• Social and team events

Other

• Role is listed as remote (#LI-REMOTE).

Tech Stack

OpenAI, Google Vertex AI, AWS Bedrock, LLM APIs, Workato, MuleSoft, Boomi, UiPath, Automation Anywhere, Blue Prism, LangChain, LlamaIndex, Pandas, TensorFlow, PyTorch, Vector databases, RAG, Knowledge graphs, REST, RPC, SSE, GraphQL, JSON, XML, SQL, NoSQL

Skills

Business Process Analysis, System Integration, API Design, Monitoring & Performance Tuning, Security & Scalability, Mentoring, Problem Solving, Analytical Thinking, Cross-functional Collaboration, Automation Strategy, Quality Evaluation and Continuous Improvement

Benefits

• Highly competitive salary
• Retirement/401K/Pension savings
• Paid time off (including birthdays off)
• Mental health care program
• Health benefits from day one
• Work from home reimbursements
• Optional global WeWork membership
• Training and onboarding program
• Support for personal development (conferences, courses, books)
• Access to StackAdapt programmatic courses and certifications
• Parental leave program
• Social and team events
• Remote work (listed as #LI-REMOTE)