AI Prompt Engineer

01 • Overview The opportunity 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. 02 • A day in the life 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. 03 • What you'll own The work itself • 1Design, version, and document prompts and agent workflows across client and internal products. • 2Build evaluation harnesses — golden sets, rubrics, automated graders — so quality is measurable, not vibes-based. • 3Partner with engineering on retrieval pipelines, tool use, function calling, and guardrails. • 4Benchmark model providers (OpenAI, Anthropic, Google, open-source) on cost, latency, and quality per use case. • 5Translate client workflows into structured prompts, schemas, and fallbacks engineers can ship. • 6Own prompt lifecycle: monitor production traces, debug regressions, and ship improvements weekly. 04 • What success looks like How we'll measure it 01 AI features you ship have documented evals and a measurable quality bar, not anecdotal demos. 02 Production prompts improve in quality, cost, or latency quarter over quarter. 03 Engineering and strategy both trust your specs enough to build and sell from them. 05 • What you bring 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. Bonus points • 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. 06 • Compensation 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. 07 • Benefits Built to support the work We invest in the team so the team can invest in the operators we work with. The full package, in plain language. • Competitive salary Transparent banding, benchmarked against the U.S. agency market and reviewed annually. • 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. • Flexible PTO + paid sick days 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. • Professional development Annual learning budget for conferences, courses, books, and certifications. • Paid volunteer time 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. 08 • 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