Applied AI Engineer

Responsibilities

• Build AI agents and automations end-to-end, from scoping to deployment and ongoing maintenance.
• Write production Python code to integrate LLM APIs into real workflows, managing prompt construction, response handling, context, and tool use.
• Connect AI tools with Zello's existing systems (Slack, Jira, HubSpot, Snowflake) via APIs, handling authentication, rate limits, errors, and logging.
• Monitor deployed agents in production, track quality metrics, triage failures, and ship improvements based on real usage data.
• Manage human reinforcement operations, review agent outputs, maintain feedback loops, and tune agent behavior.

Benefits

• Equity
• Flexible Hours

Culture