AI Agent Engineer

About the role

Pelago is building a small AI Accelerator team to lead one of the most important transformations in our company's evolution: rethinking how work gets done so our teams can focus on the decisions, relationships, and problem-solving that matter most.

Responsibilities

• Identify high-friction internal workflows and redesign them as AI-powered systems that meaningfully improve how Pelago operates
• Design, build, and deploy production-grade AI agents that connect to internal APIs, databases, and tools (Salesforce, Slack, Notion, and more)
• Integrate LLMs into real operational processes — from compliance reviews and ticket triage to documentation and QA — ensuring systems are reliable, secure, and auditable
• Build observability, guardrails, and evaluation frameworks so agents perform safely and consistently in a regulated healthcare environment
• Partner closely with product, operations, data, and compliance teams to define success metrics, iterate quickly, and continuously improve performance

Requirements

• Experience building production-grade software systems, ideally in product or operational environments, autonomously
• Strong Python skills and experience designing event-driven or distributed systems
• Hands-on experience building and deploying LLM-powered workflows: tool use, retrieval, structured outputs, orchestration
• Experience integrating systems via APIs, message queues, or workflow engines
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and deploying containerized services
• Solid understanding of security, privacy, and data controls, especially in regulated environments
• Systems thinker who can translate messy real-world processes into scalable technical solutions
• Pragmatic builder who prototypes quickly but ships responsibly

Qualifications

• A genuine passion for using AI to create measurable operational impact

Skills

• Python programming
• Event-driven or distributed systems design
• LLM integration and deployment
• API and database integration
• Cloud infrastructure management (AWS, GCP, or Azure)
• Data security and privacy practices

Benefits

• Generous and meaningful equity package
• Full Medical, Dental, & Vision coverage
• 401k Plan
• Unlimited PTO Policy, 10 paid holidays, & company wide “Me Time” Days
• Paid maternity, paternity & new parent leave
• Flexible working environment
• Annual Learning and Development stipend to support continued learning and career development
• Wellness Reimbursement Program
• Access to Reproductive & Family Planning Care
• Substance Use Support for employees and family members

Pay

Base Pay Range: $165,000 - $175,000 USD

Schedule

This is a hybrid role with a high-collaboration rhythm (3 days/week in our NYC office).