Hire a prompt engineer. Prompts, versioned and tested.
Prompt and context design treated as an engineering discipline, tested like any other production logic.
Good prompts aren't found by trial and error at scale — they're designed, versioned, and tested against a golden dataset like any other piece of production logic. Our prompt engineers bring that discipline: context design, few-shot strategy, and regression testing so quality doesn't drift release to release.
- Seniority
- 3+ years, focused specifically on prompt/context engineering for production systems
- Background
- Prompt versioning, few-shot design, context window management, evaluation-driven iteration
What they'll actually do.
Not a job description — the work this person owns from their first sprint, inside your codebase and your process.
Work this bench has shipped.
AI Support Agent for a DTC Ecommerce Brand
A production support agent handling order status, returns, and product questions across email and chat — integrated with Shopify and the brand's 3PL, with human escalation built in.
Gigbase — Multi-Tenant Agency Operating System
A multi-user agency management portal: projects, teams, clients, contracts, invoicing, real-time chat, meeting scheduling, and an admin-trained AI knowledge assistant — one subscription-based workspace.
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
Tell us the role, the stack, and when you need them started.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement this bench shipped.
From intro call to embedded.
Matched by engineers who treat prompts as versioned, tested logic — not trial and error at 2am.
Intro call
Confirm the role, stack, and team fit in one call.
Match
We propose 1–2 engineers from the bench who fit the work, not a generic pool.
Trial week
A real first week of work before any longer commitment.
Embed
Full participation in your standups, sprints, and tooling.
If the fit isn't right, we replace them inside two weeks — no argument, no fee for the swap. You'd rather we caught it early, and so would we.
Asked on every first call.
For most teams it sits inside a broader LLM or agent engineer's scope, and we will say so rather than sell a seat that isn't needed. A dedicated prompt engineer earns the role when a team is running several AI features at once and quality has started to drift between them — at that point one person owning prompt versioning, golden datasets and regression testing across all of them costs less than each team relearning it.
Yes, and that is the default. A staff-augmentation prompt engineer works inside your codebase, your process and your standups, not in a separate vendor environment.
A prompt engineer typically starts within one to two weeks of the intro call. We match from an existing bench rather than opening a cold hiring pipeline, so the limiting factor is usually your onboarding and access paperwork rather than our recruiting.
Every prompt engineer placement carries a two-week replacement guarantee, with no argument and no fee for the swap. We would rather replace someone in week two than have you carry a bad fit for a quarter.
No. A prompt engineer is engaged day-rate or monthly, month-to-month after a four-week minimum. No tiers, no bundled products, no notice period designed to trap you.
You do, from the first commit. A prompt engineer works in your repositories under your version control, and all work product assigns to you — prompts and their version history, golden datasets, evaluation harnesses, and the documentation that keeps the logic from becoming a black box. The IP assignment is signed before anyone is given repository access, not negotiated at handover.
One call. Then a name, not a pipeline.
- 30 minutes with a senior engineer, not a recruiter
- Free and no-obligation — bring the role and the stack
- You leave knowing who we'd match and how fast they can start
- We reply within one business day
Anthropic-certified engineering capacity for Claude-native products and agents.
Senior LLM application engineering, without the vendor lock-in.
Agent and workflow-automation engineering, embedded in your team.
Full-stack web and mobile engineering, AI-accelerated, senior-owned.
Fractional technical leadership for teams that need direction, not headcount.
Fractional AI leadership — roadmap, governance, and vendor decisions.
Retrieval pipeline engineering — the discipline behind every trustworthy RAG system.
Deployment, monitoring, and cost control for production AI systems.
Pipelines, warehousing, and AI-ready data infrastructure.
Product management for AI features and roadmaps, grounded in what's actually feasible.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.