AI Prompt Engineer

ParkWest; Northern (KY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Performance bonus

Comprehensive health coverage

Generous paid time off

Home office stipend

Annual learning budget

RRSP matching

Parental leave top-up

Job summary

ParkWest Solutions is hiring an AI Prompt Engineer to design and evaluate prompts within LLM-powered products. This role collaborates with strategists and engineers to create effective AI systems, and includes tasks from client workflow mapping to prompt documentation.

With a salary range between $110,000 and $140,000 annually, ParkWest offers a hybrid work model along with generous benefits including health coverage and performance bonuses.

Qualifications

• 2+ years of hands-on experience with LLMs in production.
• Fluency with at least two major model providers and their APIs.
• Strong written communication skills for documentation.

Responsibilities

• Design and document prompts and agent workflows.
• Build evaluation harnesses and measure quality.
• Partner with engineering on retrieval pipelines.

Skills

Working with LLMs

Fluency with model providers

Strong written communication

Python or TypeScript

Experience with eval frameworks

Background in linguistics

Shipping agentic systems

Job description

Overview

ParkWest is building an AI practice that sits between strategy, creative, and engineering — shipping assistants, content systems, and internal copilots for operators who need AI to actually move the business. We're hiring an AI Prompt Engineer to own prompt design, evaluation, and lifecycle across LLM-powered products. You'll work with strategists, designers, and engineers to turn fuzzy briefs into reliable, measurable AI systems — and set the bar for how we ship prompts, agents, and retrieval pipelines.

What the week looks like

Monday is a discovery session with a client and our strategy lead — mapping a workflow we\'re about to automate. Tuesday you\'re writing and versioning prompts in our eval harness, running 200-case test suites against three model providers. Wednesday you pair with engineering on a retrieval pipeline and tune a router agent. Thursday is a craft review on a content assistant going live, Friday plus a regression run before deploy. End of week is a written postmortem on last week\'s launch and a calibration session with the team.

The work itself

• Design, version, and document prompts and agent workflows across client and internal products.
• Build evaluation harnesses — golden sets, rubrics, automated graders — so quality is measurable, not vibes-based.
• Partner with engineering on retrieval pipelines, tool use, function calling, and guardrails.
• Benchmark model providers (OpenAI, Anthropic, Google, open-source) on cost, latency, and quality per use case.
• Translate client workflows into structured prompts, schemas, and fallbacks engineers can ship.
• Own prompt lifecycle: monitor production traces, debug regressions, and ship improvements weekly.

How we\'ll measure it

AI features you ship have documented evals and a measurable quality bar, not anecdotal demos. Engineering and strategy both trust your specs enough to build and sell from them.

The fit

Must-haves

• 2+ years working hands-on with LLMs in production — prompts, agents, RAG, or fine-tuning.
• Fluency with at least two major model providers and their tool-use / structured-output APIs.
• Strong written communication — your prompts and specs read like documentation, not notes.
• Comfort with Python or TypeScript for evals, scripts, and lightweight pipeline work.
• A portfolio or writeups of AI systems you\'ve shipped, with honest discussion of failure modes.
• Experience with eval frameworks (Braintrust, Promptfoo, LangSmith, Ragas) and tracing tools.
• Background in linguistics, technical writing, or applied ML research.
• Experience shipping agentic systems with multi-step tool use in production.

What we pay, openly

Salary band

$110,000 – $140,000 / 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

• Built to support the work — The full package, in plain language, including transparent banding and benchmarked against the U.S. agency market.
• Performance bonus — Annual bonus tied to company and personal goals — written down at the start of the year, not invented at the end.
• Extended health & dental — Comprehensive medical, dental, and vision coverage for you and your dependents from day one.
• Mental health support — 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.
• Hybrid by design — Two anchor days a week in the studio, the rest of the week wherever you do your best work.
• Home office stipend — A 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.
• RRSP matching — Employer matching on your retirement contributions from your first day.
• Parental leave top-up — Top-up on Employment Insurance benefits for new parents — for any path to parenthood.

How we hire

What to expect

• 01 Apply with your work — Send a note, a portfolio or relevant samples, and a short read on why this role fits. We read every message.
• 02 Intro conversation — A 30-minute call with the hiring lead to talk through your background, the role, and your questions.
• 03 Craft session — A working session — paid where it requires meaningful prep — designed to mirror real work, not a brain teaser.
• 04 Meet the team — Final round with the people you\'d work with day to day, plus a leadership conversation on growth and trajectory.

Ready to apply?

Send us a note and your best work.

Tell us why this role fits, what you\'d want to own first, and a couple of links to work you\'re proud of. We read every message.