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ZelloZelloAustin, TX

Applied AI Engineer

Build and operate production AI agents and workflow automations using Python and foundation-model APIs. The role requires 2–5 years of professional experience, strong API integration skills, and ownership of evaluation, monitoring, feedback loops, and continuous quality improvement.

Salary not listed
Hybrid2+ YOEAI Research

About the role

Responsibilities

  • Build AI agents and automations end-to-end, from scoping through deployment and ongoing maintenance.
  • Write production Python code integrating LLM APIs, including prompt construction, response handling, context management, and tool use.
  • Connect AI tools to Slack, Jira, HubSpot, and Snowflake through APIs, handling authentication, rate limits, errors, and logging.
  • Monitor deployed agents, track quality metrics, triage failures, and ship improvements based on usage data.
  • Manage human reinforcement operations, including reviewing agent outputs, maintaining feedback loops, and tuning agent behavior.
  • Build evaluation harnesses that measure agent quality and detect regressions.
  • Create reusable components, development patterns, and documentation.
  • Communicate clearly with technical and non-technical stakeholders.

Requirements

  • 2–5 years of professional experience in software engineering, AI engineering, or a related technical role.
  • Production experience writing Python for tools, integrations, automations, or shipped products.
  • Practical experience with LLM APIs, prompt construction, context windows, token economics, and tool-use patterns.
  • Experience integrating systems through APIs, including authentication, rate limits, and edge-case handling.
  • Ability to decompose complex problems into clean components with well-defined interfaces.
  • Strong testing, monitoring, quality, and operational-ownership mindset.
  • Ability to learn new frameworks, APIs, and domains quickly.
  • Clean, documented, maintainable code.

Nice-to-haves

  • Experience shipping production AI agents.
  • Experience building automated evaluation and quality-scoring systems.
  • Experience with human feedback or reinforcement workflows.
  • Experience integrating Slack, Jira, HubSpot, or Snowflake.

Compensation and Benefits

  • Competitive pay.
  • Equity with significant upside.
  • Flexible schedules and time off.
  • Sabbatical after every five years of service.
  • Healthy and well-balanced employee benefits.

Skills

PythonLLM APIsPrompt Engineeringcontext managementtool useSlackJiraHubSpotSnowflakeAPI IntegrationsMonitoringevaluation harnessesautomationsloggingtesting

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