Clarista's senior AI engineering team builds production AI apps on your cloud — fixed-bid from $50K, shipped in 4-8 weeks, governed by SOC 2 / HIPAA / ISO 27001 by default. Skip the hire. Skip the offshore quality lottery. Skip the Big-4 markup.
Hiring AI engineers in 2026 is one of the worst time-to-value bets a CTO can make. The market has gotten worse, not better.
Median time-to-hire for senior AI/ML engineers in tight markets. Add 60-90 days to ramp. You're 6-8 months from posting the role to first production code.
Base $180-250K. Add benefits, equipment, recruiter fee (20-30% of base), management overhead, ramp tax. Now multiply by team size.
Wrong specialty (research vs production), poor team fit, or competitor poaches them with a $100K bump. Restart from zero.
By the time your in-house AI hire ships their first app, Clarista has shipped four for you on your cloud — for a fraction of the cost.
Pick the model that fits your roadmap. Switch models anytime — same team, same code.
One scoped AI app. Fixed price. Fixed timeline. We deliver code, deployment, governance, and a runbook your team owns.
Dedicated senior AI engineers embedded with your team. Ships multiple AI apps in parallel. Monthly retainer, fixed scope per sprint.
We build your AI app and train your engineers to own it. Best for teams hiring AI talent in parallel — get production now, transfer knowledge.
The 4 paths most enterprises consider — and why "outsource to Clarista" wins on speed, cost, and risk.
| Hire Clarista | In-House Hire | Offshore Staff Aug | Big-4 / McKinsey | |
|---|---|---|---|---|
| Time to start | 7 days | 90-150 days | 30-60 days | 30-90 days |
| Time to production | 4-8 weeks | 6-9 months (with ramp) | 3-6 months | 3-6 months |
| Cost (one AI app) | $50K-$250K fixed-bid | $300K-$500K/yr loaded | $40-$120/hr, $100K-$300K total | $200K-$600K per project |
| Engineer seniority | Senior (5+ yrs avg) | Varies — you screen | Mixed (median is junior) | Mostly junior consultants billed at senior rates |
| Pricing model | Fixed-bid only | Salary + ongoing comp | Hourly — drifts | T&M — drifts heavily |
| Compliance built in | SOC 2 + HIPAA + ISO by default | You build it | You build it | Partial, billed separately |
| Code ownership | 100% handoff, your Git | Yours | Yours | Yours (but spaghetti) |
| Vendor lock-in risk | None — your cloud, your code | N/A | Low | High — needs them to maintain |
| Best for | Teams that need production AI fast, on budget | AI-core companies, multi-year horizon | Well-spec'd execution work, strong onshore PM | Boardroom optics, change-management projects |
No long sales cycle. No "discovery deck" billed at $30K. Here's a typical 5-week build:
Bring your use case. We ask 10 questions. You leave with a clear yes/no on whether we're the right fit — no pitch.
You get a written scope, deliverables, milestones, fixed price, and timeline. No hourly estimates. No "we'll know once we start."
Team assigned, your cloud access provisioned, data connections wired, sprint 1 starts. You get a Slack channel and weekly demos.
App live on your infrastructure. Code in your Git. Runbook + architecture doc delivered. Your team owns it — or we stay on for managed support.
We're built for teams with AI budgets of $50K+ who need production-grade output — not prototypes, not throwaway demos.
If you're looking for $25/hour offshore developers, a free MVP for your investor pitch, or someone to "just slap a chatbot on it" — we're not the right fit. We'll tell you that on the first call rather than waste a month of your time.
Right fit: CTOs, VPs of Engineering, Heads of AI at mid-market and enterprise teams who've been quoted 6-12 months and $400K+ to hire an in-house AI team and want a faster, more predictable alternative.
Customer names redacted under NDA — happy to share specifics on a call.
Replaced a 4-engineer in-house build that had stalled for 11 months. Shipped on customer's AWS with full audit trail, deployed to 40 analysts on day 1.
4x cheaper and 3x faster than the McKinsey proposal. SOC 2 controls inherited from Clarista platform. Now processing 8,000 claims/day.
HIPAA-ready by default, deployed on customer Azure tenant. Replaced a stalled 9-month in-house roadmap with a working pilot in 14 days.
These are anonymized to protect customer confidentiality. On the scoping call we can introduce you to a reference in your industry.
Most AI dev agencies bill $200K-$600K per app and take 3-6 months because they're rebuilding the same infrastructure — auth, governance, multi-LLM orchestration, observability, deployment pipelines — from scratch on every project. We don't.
Our engineers ship on the Clarista platform. 70-80% of the production-AI plumbing is already built: BYO LLM (Claude, GPT, Gemini, Llama), governance, audit, RBAC, eval framework, deployment to your cloud. That's why our 4-week build is their 4-month build.
Every engineer on your account has 5+ years of production AI/ML experience. We don't have a junior tier we offload work to. The person on the standup is the person writing the code.
We commit a price on day 1. We absorb scope-creep risk. If we underestimate, we eat it — not you. This forces us to scope tight and execute fast. Most agencies hide behind hourly billing because their estimates are bad.
Apps deploy to your AWS, Azure, GCP, or on-prem. Code lives in your Git from day 1. No proprietary runtime that only works on Clarista infrastructure. You can fire us tomorrow and the app keeps running.
20-minute scoping call. Bring your stalled AI project, your in-house hiring plan, or your stack-of-vendor-quotes. Leave with a fixed-bid number and a delivery date.
Book scoping call →Typical engagement start: 7 days from scoping call to kickoff. A 20-minute scoping call defines the build, we send a fixed-bid proposal within 48 hours, and onboarding starts within a week of signature.
Fixed-bid AI app builds start at $50,000 and typically range $50K-$250K depending on scope. Embedded team retainers start at ~$40K/month. We don't bill hourly. Compare to fully-loaded US senior AI engineer cost of $300K-$500K per year, or Big-4 consulting at $200-$600K per project.
Fixed-bid only on app builds. No surprise invoices, no hourly drift. You know the price on day 1 and the scope is written into the SOW. For longer ongoing engagements we offer monthly retainers — also fixed.
Yes. Full code handoff is the default. We push to your Git, deploy to your cloud, document the architecture so your team can own it after handoff. No vendor lock-in, no proprietary runtimes you can only run on Clarista.
Offshore staff augmentation (Andela, BairesDev, Turing) bills hourly at $40-$120/hr with quality variance and time-zone overhead. You manage the team. Clarista is the opposite: senior US-led team, fixed-bid, we manage delivery, you get the working app and the code. Faster, more predictable, less risk.
Big-4 (Accenture, Deloitte, McKinsey) bill $200K-$600K per project, take 3-6 months, and assign mostly junior consultants. We bill fixed from $50K, ship in 4-8 weeks, and staff with senior engineers only. The Big-4 markup pays for partner overhead, not engineering quality.
Yes. We deploy to your AWS, Azure, GCP, or on-prem. Your data never leaves your perimeter. We bring our platform that handles 70-80% of the AI plumbing so we ship faster, but the app runs entirely on your infrastructure.
Clarista is SOC 2 Type II, ISO 27001 certified, and HIPAA-ready. Apps we ship inherit these controls by default — audit trails, encryption at rest and in transit, RBAC, data residency. We deliver the controls evidence pack alongside the app.
Clarista is built for teams with AI budgets of $50K+ who need production-grade output. If you're looking for $30/hour offshore developers or a quick prototype to demo to investors, we're not the right fit — and we'll tell you that on the first call.
That's our Build-Then-Train model. We build the AI app, hand off the code, then train your engineers to own and extend it. Typical handoff: 2-4 weeks of pairing post-launch. Many clients use this path while hiring their permanent AI team in parallel.
If you're still evaluating in-house hiring vs outsourcing, here's the unvarnished 2026 reality across cost, sources, and timelines.
| Source | Best for | Speed | Cost band |
|---|---|---|---|
| LinkedIn Recruiter, Hired, Otta | Full-time hires in-region | 90-150 days | $280K-$500K/yr (US loaded) |
| Toptal, Turing, Lightning AI Talent | Vetted senior contractors | 14-30 days | $120-$300/hr |
| Andela, BairesDev, EPAM | Offshore staff augmentation | 30-60 days | $40-$120/hr |
| AI dev agencies (N-iX, ELEKS, Globant) | Fixed-scope app builds | 30 days to start | $200K-$600K per project |
| Clarista (us) | Production AI apps, fixed-bid, fast | 7 days to kickoff | $50K-$250K per app |
Hiring an AI/ML engineer is harder than hiring full-stack engineers was in 2021. Supply hasn't caught up with demand, salaries are at all-time highs, and the half-life of any model-specific expertise is short — what they knew 18 months ago is largely irrelevant today.
| Role / Source | Total cost (Yr 1) | Time to hire | Time to productive |
|---|---|---|---|
| Senior AI engineer (US) | $280K-$400K base, $350K-$500K loaded | 90-150 days | 60-90 days |
| Senior AI engineer (Europe) | €140K-€260K base | 120-180 days | 60-90 days |
| Offshore AI developers (India, LATAM, EE) | $80K-$150K loaded | 30-60 days | 30-60 days |
| AI developer for hire (contract) | $80-$300/hr | 14-30 days | 14-30 days |
| AI development agency (project) | $200K-$600K per app | 14-30 days to start | 3-6 months to deliver |
Full-time, in-house: Good fit if AI is central to your product for the next 3+ years and you can budget $350K-$500K loaded per senior US hire. Wrong choice if you only need 1-2 production AI apps in the next year — economics don't work.
Contract / freelance: Toptal, Lightning AI Talent, Andela, Arc.dev have senior AI developers for hire on hourly contracts. Best for 4-12 week well-scoped builds. Worst when spec is fuzzy — billable hours compound while team figures out direction.
Offshore staff augmentation: India, Poland, Argentina, Romania. $40-$120/hour, $80K-$150K loaded annual. The top end is excellent; the median is mixed. Works for spec-driven implementation with strong onshore PM oversight. Works poorly for ambiguous greenfield AI work.
Most companies hiring AI developers in 2026 don't actually need AI developers — they need AI apps. Outsource the build to a team that already has the platform, the engineers, and the compliance work done. Talk to our team →
20-minute scoping call. We listen, ask 10 questions, and tell you on the call whether we can ship what you need — and roughly what it costs.
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