Sticker Mule hires an AI agent engineer to build, run, and manage autonomous agents

# What the job is Sticker Mule is hiring a remote AI agent engineer to build, run, and manage a team of autonomous agents that help the company move faster and serve customers better. The position focuses on finding concrete places where agents can do useful work, connecting them to the right tools, and ensuring they actually deliver measurable results.

# The core responsibilities The role centers on end-to-end delivery and operational ownership of agentic systems. Specific tasks include:

• Identifying high-value use cases across departments and working with department leads to scope agent capabilities.
• experiments.
• Integrating agents with internal systems and third-party tools to enable real work (e.g., data stores, APIs, workflows).
• Measuring agent performance, iterating where agents add value, and removing agents that don't meet impact thresholds.
• Testing and adopting new models and tooling as they ship to keep the stack current.
• Advising non-AI teams on how to use agent capabilities to improve their workflows.

# Technical profile Sticker Mule expects Sticker Mule lists concrete technical requirements. The engineer must:

• Have direct experience building agents that operate autonomously and produce measurable outcomes.
• Be strong with Grok, Claude, OpenAI, and open-source model tooling.
• Be comfortable with Go and TypeScript as primary engineering languages.
• Know GraphQL, Postgres, and Google Cloud Platform (GCP).
• Write clearly in English for cross-functional collaboration and documentation.

# Compensation and logistics The role is fully remote with global eligibility. Compensation and benefits as published:

• Salary range: $150,000 to $250,000 USD.
• $20,000 signing bonus.
• Four weeks vacation plus country-specific holidays.

# What success looks like in this role Success is defined by clear, measurable outcomes rather than prototypes. Early wins are likely to include launching a small number of production agents that reduce manual work, improve response times, or enable new automation in customer-facing or operations workflows. Ongoing work will require observing tool and model releases, evaluating them quickly, and upgrading the agent stack when it materially improves capability or cost.

# Cultural and hiring context Sticker Mule presents itself as a company that combines software, manufacturing, and AI into a commerce platform. The team spans multiple countries and emphasizes hiring people who align with their culture. The posting indicates this is one of many engineering roles the company has open and frames the position as a practical builder role rather than purely research.

Compared with traditional ML engineer or platform roles, this position demands both applied LLM/agent experience and full-stack engineering skills (Go and TypeScript). It expects the candidate to move beyond prototypes to scalable integrations that interact with business systems.

# Immediate next steps for interested applicants Apply through the job listing on WeWorkRemotely before the posted deadline, and prepare examples of agentic systems you shipped, including the architecture, integrations, measurable outcomes, and which models and tools you used.