A hands-on role for someone who loves spotting repetitive work and wiping it out — turning manual processes into AI-powered automations the team actually uses.
We're a small team building two products. Skillify runs career workshops and mentorship programs for students — we've reached thousands of students across 220+ schools. Kinship Labs (kinshipcomms.ai) is the AI-powered relationship management platform that powers Skillify and helps other organizations maintain personalized, human connections at scale across SMS and email. Both run on a stack of internal automations — that's where you come in.
You'll work directly with the operations, sales, and engineering teams to identify business processes that should be automated, then build, ship, and maintain those workflows. This is hands-on work — connecting tools, engineering AI prompts inside no-code platforms, and shipping automations that save hours of manual effort every week.
Work environment: full-time office setting with a small, collaborative team. You'll have a dedicated workstation, access to professional AI tooling (Claude, OpenAI, etc.), and direct mentorship from senior engineers.
What you'll actually do
Workflow automation development (50%)
- Identify business processes (sales follow-ups, onboarding, reporting, content workflows) that can be automated
- Build production workflows in N8N, Hermes, Make, Zapier, or similar low-code platforms
- Integrate AI APIs (Claude, OpenAI) into automation pipelines for classification, summarization, drafting, and extraction tasks
- Connect internal tools — Slack, Gmail, Google Drive, Notion, HubSpot, our PostgreSQL database — into end-to-end flows
- Maintain a library of reusable "skills" / sub-flows that other automations can compose
AI skill & agent engineering (35%)
- Design AI-powered skills that handle specific business functions (e.g., draft a personalized follow-up, classify inbound leads, extract data from a PDF)
- Engineer prompts that perform reliably across messy, real-world inputs
- Build evaluation flows that catch regressions before they hit production
- Document what each skill does, who owns it, and when it should run
Monitoring & continuous improvement (15%)
- Monitor running automations and surface failure modes early
- Iterate on existing flows based on user feedback and observed errors
- Demo new automations to the team in weekly reviews
- Identify patterns and propose new automation opportunities to leadership
What you'll learn
By the end of this internship, you'll be able to:
- Build production automations end-to-end — design, ship, and maintain workflows the business depends on
- Engineer AI skills inside automation platforms — translate business problems into well-prompted, reliable LLM calls
- Spot real automation opportunities — develop the judgment to know which manual processes are worth automating (and which aren't)
- Operate at the intersection of business and engineering — translate vague stakeholder requests into concrete automation specs
- Monitor and maintain production systems — debug live automations and improve reliability over time
- Communicate impact — show stakeholders the time, money, and effort each automation saves
What we're looking for
Required
- Currently enrolled in or recently completed a Bachelor's or Master's program in Computer Science, Information Systems, Business Analytics, or related field (relevant self-taught experience also welcome)
- Familiarity with at least one programming language (Python, JavaScript, etc.) — even just from coursework or personal projects
- Comfortable learning new tools quickly and reading their docs without hand-holding
- Strong written communication
- Curious about how businesses operate — you ask "why is this manual?" instead of accepting it
Nice to have
- Prior experience with workflow automation tools (N8N, Hermes, Make, Zapier, or similar)
- Experience building or using LLM-powered agents/skills
- Familiarity with REST APIs, webhooks, and JSON
- Interest in business operations, sales ops, or SaaS tooling
- Personal projects involving automations, scripts, or "side hustles" you've automated
Tech you'll work with
- Automation platforms: N8N, Hermes, Make, Zapier (and we're always evaluating new tools)
- AI APIs: Claude API (Anthropic), OpenAI API
- Languages: JavaScript and Python (for custom code nodes inside flows)
- Data: PostgreSQL via Supabase, Google Sheets
- Integrations: Slack, Gmail, Google Drive, Notion, HubSpot, Twilio
- Version control: Git/GitHub
- Communication: Slack
Mentorship & path to full-time
You'll get daily check-ins with progress review, weekly 1:1 mentorship sessions, direct access to senior engineers and our CTO for technical guidance, and code review on all your work.
This internship is designed with a potential transition to a full-time role in mind. At the end of the 3-month program, strong performers may be offered a full-time position as an AI Automation Engineer or similar. Final hiring depends on mutual fit, business needs, and available funding at the time of evaluation.
Sound like you?
If you read this and thought "I was literally born for this" — we want to hear from you.