Hire a senior product engineer. Ships product, AI-accelerated.
Senior product engineering capacity — the delivery muscle behind everything we build.
Not every gap is an AI gap. Sometimes you just need a senior engineer who ships — web, mobile, or backend — using the same AI-accelerated process we use internally, with every line still owned by a senior human.
- Seniority
- 5+ years full-stack or platform engineering
- Background
- React/Next.js, mobile (React Native/Flutter/native), and backend systems built for scale and audit
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.
Concordia Colleges — 150-Branch SIS Platform
A complete Student Information System for a network of 150+ college branches: revenue and royalty management, fees, LMS, student and teacher operations, payroll, and accounts — unified on one platform.
Cove — Home Security Platform Consolidation
Operator portal, headless CMS, and marketing platform for a US home-security device ecosystem — three disconnected systems consolidated into one operator experience.
Government of Punjab — Province-Wide Teacher Training
An interactive early-childhood teacher training program delivered as an offline-first mobile application — deployed province-wide on low-end devices with intermittent connectivity.
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 bench that ships our own product engagements — the same standard, not a lower tier.
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.
Beyond Technologies ensured a streamlined workflow with consistent project updates throughout — the platform now runs our entire network.
Asked on every first call.
A senior product engineer is general product engineering — web, mobile and backend — and not an AI specialist role. AI is used internally to accelerate delivery rather than being the subject matter of the work, and every line is still reviewed and owned by a senior human before it merges.
Yes, and that is the default. A staff-augmentation product engineer works inside your codebase, your CI and your standups, not in a separate vendor environment.
A senior product 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 product 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 product 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 product engineer works in your repositories under your version control, and all work product assigns to you — application code, tests, infrastructure definitions and documentation. 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.
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.