AI Automation Engineer

7shifts; United States; Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Equity in a Series C SaaS company

Health and dental coverage

Lifestyle spending accounts

Flexible vacation policy

Short-term remote-work program

Equipment: Apple hardware and home/off

Job summary

7shifts is seeking a hands-on AI automation role that partners with business leaders to identify high-impact opportunities and deliver AI-powered solutions.

The role sits at the intersection of process redesign, applied AI, and internal tooling, with significant autonomy from discovery to iteration. You will prototype, test, and ship automations while ensuring data privacy and governance.

Qualifications

• Proven track record taking ambiguous problems from idea through implementation.
• Hands-on with large language models and AI tools, delivering real automation.
• Responsible AI mindset with data privacy, security, access controls, and safeguards.
• Strong foundation in Python, SQL, APIs, and modern tooling (Git, cloud platforms).

Responsibilities

• Map workflows with leaders to surface high-value automation opportunities.
• Redesign processes to remove steps and enable scalable automation.
• Prototype, test, and launch AI-powered automations using LLMs and agents.
• Connect systems via APIs and automation platforms so data flows cleanly across the business.
• Document solutions, set guardrails, and enable teams to run and maintain what is built.
• Track outcomes (time saved, capacity created) to inform next priorities.

Skills

Python

SQL

APIs

NLP/LLMs

Automation design

Autonomy

Tools

n8n

Zapier

Make

Job description

Role overview

This role focuses on partnering with business leaders to identify high-impact automation opportunities and turning them into shipped, AI-powered solutions. The position is hands-on and cross-functional, sitting at the intersection of process redesign, applied AI, and internal tooling. The successful candidate will operate with significant autonomy, owning projects from early discovery through measurement and iteration.

Responsibilities

• Collaborate with leaders and operational teams to map current workflows, surface high-value automation opportunities, and shape solutions that unlock meaningful capacity
• Redesign existing processes by removing unnecessary steps and rebuilding simpler, more scalable flows before layering in automation
• Prototype, test, and launch AI-powered automations using large language models, agents, and complementary tooling
• Connect existing systems through APIs and automation platforms so that data and actions move cleanly across the business
• Document solutions, set practical guardrails, and enable teams to confidently adopt, run, and maintain what is built
• Track outcomes such as time saved, capacity created, and efficiency gains, and use those signals to inform the next round of priorities

Requirements

• A track record of taking ambiguous problems from idea through implementation and ongoing maintenance, not just prototyping
• Hands-on experience with large language models and AI tools, with concrete examples of using them to change how work gets done
• A responsible AI mindset with attention to data privacy, security, access controls, and appropriate safeguards around sensitive information
• Technical foundation in Python or a comparable language, SQL and databases, APIs, and automation platforms such as n8n, Zapier, or Make
• Familiarity with modern development and deployment tooling including Git, Vercel, Railway, or cloud platforms like AWS, Azure, or GCP
• A business-first approach that starts with the problem rather than the technology, plus the ability to work independently through ambiguity

Nice to have

• Experience with workflow orchestration or RPA tooling

Benefits and work setup

• Hybrid work model with offices available for in-person collaboration
• Equity participation in a Series C, venture-backed SaaS company
• Health and dental coverage, lifestyle spending accounts, and a flexible parental leave program
• Flexible vacation policy plus a short-term remote-work program that allows working away from the usual location
• Equipment support including recent Apple hardware and home office setup
• Ongoing professional growth support through coaching, feedback, and development planning