Lead AI Engineer — Productivity Systems

Lead It Engineer
- Productivity Systems

USA, Durham; USA, Miami; USA, Palo Alto; USA, Washington DC

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

• Enterprise Automation & Platform Engineering:
  • Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
  • Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
• AI & "Vibe Coding" Governance:
  • Drive the technical strategy for AI adoption within engineering workflows.
  • Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
  • Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Internal Tooling Standards:
  • Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
  • Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Cross-Functional Technical Leadership:
  • Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

• Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

• Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/Cloud Formation).

• Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

• AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).

• Advanced English

Behavioral & Strategic Skills

• Governance-Aware: You understand that "efficiency" must be balanced with "security." You can design systems that are safe by default without destroying developer velocity.
• Problem Solver: You are comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
• Multiplier: You enjoy documenting your work, creating "Golden Paths" for other engineers, and teaching others how to use the tools you build.

Location

• Durham, United States
• Miami, United States
• Palo Alto, United States
• Washington DC, United States

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves
• Nucleo
  - Our learning platform of courses
• Nu Language
  - Our language learning program
• Nu Care
  - Our mental health and wellness assistance program
• 401K
• Saving Plans
  - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Hybrid 2–3 times/week:
Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit

Location-Specific Disclosures

• Palo Alto: Total compensation includes base salary, RSUs and benefits. Base salary range: $11,712 - $17,568