No-Code AI Applications Engineer

Summary

ParkWest Solutions is an AI practice that builds custom assistants, internal tools, and automated workflows for operators. The No-Code AI Applications Engineer will design and build AI-powered applications, compose automation workflows, integrate LLMs and client systems, model data, and document production-ready solutions.

Responsibilities

• Design and build AI-powered apps, dashboards, and internal tools on no-code and low-code platforms
• Compose automation workflows across n8n, Make, Zapier, and native APIs — with proper error handling and observability
• Integrate LLMs, vector databases, CRMs, and client systems of record into reliable end-to-end pipelines
• Model data in Airtable, Supabase, or similar — schemas, relations, permissions, migrations
• Partner with prompt engineers and strategists to translate workflow maps into shipped applications
• Document builds with diagrams, runbooks, and handoff notes clients and our delivery team can maintain

Skills

• • 3+ years building on no-code/low-code platforms (Bubble, Retool, Lovable, Softr, Glide, or similar) in production
• • Deep fluency with automation platforms — n8n, Make, or Zapier — including webhooks, queues, and conditional logic
• • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Google) into real applications
• • Working knowledge of relational data modeling, REST/GraphQL APIs, and webhook security
• • Comfort writing light JavaScript or Python for custom nodes, scripts, and edge cases
• • Experience with vector databases (Pinecone, Weaviate, pgvector) and retrieval pipelines
• • Background in solutions engineering, sales engineering, or agency delivery
• • Familiarity with Supabase, Postgres RLS, or edge functions for production-grade backends

Qualifications

Must Haves

• • 3+ years building on no-code/low-code platforms (Bubble, Retool, Lovable, Softr, Glide, or similar) in production
• • Deep fluency with automation platforms — n8n, Make, or Zapier — including webhooks, queues, and conditional logic
• • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Google) into real applications
• • Working knowledge of relational data modeling, REST/GraphQL APIs, and webhook security
• • Comfort writing light JavaScript or Python for custom nodes, scripts, and edge cases

Nice to Haves

• • Experience with vector databases (Pinecone, Weaviate, pgvector) and retrieval pipelines
• • Background in solutions engineering, sales engineering, or agency delivery
• • Familiarity with Supabase, Postgres RLS, or edge functions for production-grade backends

Benefits

• Annual bonus tied to company and personal goals — written down at the start of the year, not invented at the end.
• Comprehensive medical, dental, and vision coverage for you and your dependents from day one.
• Confidential EAP plus a dedicated mental-health benefit for therapy, coaching, and crisis support.
• Generous paid time off plus separate paid sick days so you can rest without trade-offs.
• 13 paid holidays — all statutory holidays plus your birthday and a floating day to use whenever it matters.
• Two anchor days a week in the studio, the rest of the week wherever you do your best work.
• A one-time home office setup stipend plus a monthly allowance for tools, internet, and workspace.
• Annual learning budget for conferences, courses, books, and certifications.
• Paid hours every month to contribute to causes and communities you care about.
• Employer matching on your retirement contributions from your first day.
• Top-up on Employment Insurance benefits for new parents — for any path to parenthood.