No-Code AI Applications Engineer

ParkWest Solutions; United States; Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

Annual bonus tied to goals

Generous paid time off

Home office stipend

Employer retirement contribution matching

Job summary

ParkWest Solutions is looking for a No-Code AI Applications Engineer in the United States. You will design and build AI-powered applications leveraging no-code and low-code platforms such as n8n and Zapier. The role involves working closely with strategists to deliver reliable systems for clients.

This position offers a salary between $95,000 and $125,000 annually, alongside comprehensive benefits including medical coverage and paid time off.

Qualifications

• 3+ years building applications on no-code/low-code platforms in production.
• Deep fluency with automation platforms like n8n, Make, or Zapier.
• Hands-on experience with LLM APIs like OpenAI and Google.
• Experience in relational data modeling and APIs.

Responsibilities

• Design and build AI applications on no-code platforms.
• Compose automation workflows with proper error handling.
• Integrate LLMs and client systems into reliable pipelines.
• Document builds for client maintenance.

Skills

No-code/low-code platforms expertise

Automation platforms knowledge

LLM API integration

Data modeling skills

Experience with REST/GraphQL APIs

Background in solutions engineering

Familiarity with vector databases

Tools

n8n

Zapier

Bubble

Retool

Job description

ParkWest's AI practice ships custom assistants, internal tools, and automated workflows for operators who need results in weeks, not quarters. We’re hiring a No‑Code AI Applications Engineer to compose those systems on platforms like n8n, Make, Zapier, Lovable, Bubble, Retool, Airtable, and Supabase – wired to LLMs, vector stores, and client systems of record. You’ll partner with strategists and prompt engineers to turn discovery docs into shipped applications clients log into on Monday morning.

A day in the life

Monday you scope a client intake assistant – mapping triggers, data sources, and the human handoff. Tuesday you wire it up in n8n and Lovable, with a Supabase backend and an OpenAI‑powered classifier. Wednesday you pair with the prompt engineer on evals and add retries, logging, and a Slack escalation path. Thursday is a client walkthrough and two rounds of feedback. Friday you ship, monitor the first 50 runs, and write the runbook.

The work itself

• 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 that clients and our delivery team can maintain.

How we’ll measure it

• Applications you ship run reliably in production with monitored error rates and clear ownership.
• Clients can operate and extend the systems you build without us as a permanent dependency.
• Build cycles get shorter quarter over quarter as you compound a library of patterns and templates.

The fit

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.
• 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.

What we pay, openly

Salary band: $95,000 – $125,000 / year. Final offer depends on experience, qualifications, and internal equity. We benchmark against the Canadian agency market each year and share banding openly. Reviews happen annually and at promotion.

Benefits

We invest in the team so the team can invest in the operators we work with. The full package, in plain language.

• Transparent banding, benchmarked against the U.S. agency market and reviewed annually.
• Annual bonus tied to company and personal goals.
• 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.
• 13 paid holidays – all statutory holidays plus your birthday and a floating day to use whenever it matters.
• Hybrid by design – two anchor days a week in the studio, the rest wherever you do your best work.
• Home office stipend – one‑time 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.
• Parental leave top‑up on Employment Insurance benefits for new parents.