Hire a Claude engineer who ships production work, every time.
A senior engineer fluent in Claude's tool-use, agent, and context patterns — in your team within weeks.
Claude rewards engineers who understand its tool-use and context patterns deeply, not generically. Every engineer we place has shipped production work on Claude's APIs — agents, MCP servers, evals — and is being certified through Anthropic's own program. You get senior capacity without the multi-month hiring cycle, and a two-week replacement guarantee if the fit isn't right.
- Seniority
- 5+ years software engineering, 1+ years building specifically on Claude/Anthropic APIs
- Background
- Production tool-use, agent, and MCP experience — not weekend-project familiarity
- Certifications
- Anthropic Claude Developer certification (in progress fleet-wide, per our Anthropic Select partner track)
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 from the same bench pursuing Anthropic's own certification — not a generalist learning Claude on your clock.
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.
No — Claude-specific experience matters for tool-use design, context windows, and agent patterns that behave differently across model providers. We place engineers who've shipped on Claude specifically, not engineers learning it on your clock.
Yes — that's the default. Staff-aug engineers work inside your codebase, your process, your standups.
Two-week replacement guarantee, no argument. We'd rather swap early than have you carry a bad fit for a quarter.
No — day-rate or monthly, month-to-month after a 4-week minimum. No tiers, no bundled products.
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
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.
Systematic prompt and context design, tested against real outcomes.
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.