Front-end
Back-end
Full Stack Developer
Mobile
Other
Company
Contact Us
Hire Remote AI‑Powered Full‑Stack Developersfrom $2,000/month
AI consultant and AI consulting services from an AI development company that places dedicated full-stack engineers fluent in Cursor, Claude Code, GitHub Copilot, v0, Bolt.new, and the Anthropic / OpenAI / Google AI SDKs. From $2,000 USD/month for 160 hours of full-time, exclusive engineering. React / Next.js / Node / Python end-to-end. Monthly billing, 7-day risk-free trial.
We provide more than just staff augmentation; we are your gateway to hiring AI powered developers who master the intersection of senior engineering and AI orchestration. In today’s fast-paced market, writing code isn't enough. Our team "vibes" your vision into reality using an AI-first workflow powered by Claude Code, Cursor AI, Antigravity AI, GitHub Copilot, Bolt.new, Lovable AI, Replit, Rork AI, and Base44, delivering enterprise-grade React, Next.js, and full-stack solutions in record time.
Years of Experience
Talented IT Professionals
Successful Projects
Clients
What is AI-powered full-stack engineering, and who is it for?
AI-powered full-stack engineering is the discipline of using modern AI coding tools (Cursor, Claude Code, GitHub Copilot, v0, Bolt.new, Lovable) as a daily production surface, paired with deliberate human review and the same testing / type-safety / security discipline a senior engineer would apply to any code shipped to production. The output is not generated slop; it is real React, Next.js, Node, Python, or TypeScript code, in your repository, behind your CI, owned by you. The pace difference is real: roughly 2-3x faster on greenfield projects, neutral or slower on heavily legacy refactors where the AI tooling fights the existing patterns.
AI-powered full-stack fits product teams who want speed on new builds without giving up production quality. Typical engagements are MVP-to-production paths for SaaS founders, white-label client work for agencies, prototype-to-production graduations, internal tools that need to ship in weeks not quarters, and AI-native features inside the product (chat, RAG, agents, streaming UIs) where the engineer is fluent in both the Anthropic / OpenAI SDK and the React UI surface that consumes them.
You gain shipping pace (roughly 2-3x on greenfield) and an engineer fluent in the same AI tooling your competitors are using. You give up the assumption that all code is hand-written line by line. The wrong way to use AI tooling is to ship unreviewed model output to production; the right way is to use it like a fast pair-programmer with the human engineer staying responsible for architecture, security, and the design review.
Where AI-powered full-stack is the right pick
AI-augmented engineering shines on greenfield builds with clear scope. The patterns below come up repeatedly.
Greenfield SaaS MVPs that need to graduate to production
Visual building gets you a clickable prototype; AI-augmented engineering gets you a real production app in 2-4 weeks. Same React / Next.js / Postgres stack, same architecture discipline, just shipped 2-3x faster.
AI-native product features (chat, RAG, agents, streaming)
The engineer is fluent in the Anthropic / OpenAI SDK, RAG retrieval pipelines, embedding stores (pgvector, Qdrant, Pinecone), prompt versioning, and streaming SSE responses to a React client. Cursor / Claude Code accelerates the boilerplate.
Internal tools and admin dashboards on tight timelines
When your operations team needs a working tool in 2 weeks not 2 quarters. v0 / Bolt.new for first-pass UI, Cursor for the data layer, Claude Code for the test suite. Real code, your repo, full ownership.
Agency client work shipped under tight margins
If you run a US / EU / AU agency and need to ship client builds at 2-3x the historical pace without dropping quality, AI-augmented full-stack is the playbook. Same monthly cost, more work shipped.
Prototype-to-production graduation paths
When the founder has a v0 / Bolt.new / Lovable prototype that needs to graduate to production. We migrate it onto a real stack (Next.js + Postgres + Stripe + Auth0), wire CI / observability / testing, and ship it without the throwaway-and-rewrite tax.
What we ship with AI-powered full-stack
Project types our team has actually delivered. Most engagements are 3-12 months, sometimes shorter when the deliverable is a defined MVP-to-production push.
Greenfield SaaS MVPs in 4-8 weeks
Next.js App Router + Server Actions + Postgres (Supabase / Neon / RDS) + Stripe + Auth0 / WorkOS. Cursor / Claude Code for the daily build, real code, real tests, deployed on Vercel or self-hosted.
AI-native product surfaces
Chat UIs with streaming SSE, RAG retrieval over Postgres + pgvector or Qdrant, agent orchestration via Anthropic Tool Use or OpenAI function calling, prompt versioning, eval suites.
Internal tools and admin dashboards in 2-4 weeks
v0 / Bolt.new for the first-pass UI, Next.js + Prisma for the data layer, Auth0 / Clerk for auth, deployed on Vercel or AWS. Faster than spreadsheet-to-Retool, with full code ownership.
Prototype-to-production migrations
Take a v0 / Bolt.new / Lovable prototype, migrate to a real stack (Next.js + Postgres + Stripe + Auth0), wire CI / Sentry / E2E tests, and ship to production. No rewrites, no throwaway code.
When AI-powered full-stack is not the right pick
We will tell you upfront if your project shape doesn't fit. The patterns below are where standard hand-coded engineering wins.
Heavy legacy refactors of large existing codebases
When the codebase is 50+ developer-years deep with custom DSLs, generated code, and idiomatic patterns that AI tools fight, the AI augmentation is neutral or negative. Hand-coded Django / React / Node engineers ship faster.
Compliance-critical fintech / health workloads
When every line of code needs an explicit audit trail and the regulator wants signed-off authorship, AI-generated patches are an extra paperwork burden. Hire-django-developers or hire-python-developers fits better.
Embedded, low-level, or high-performance systems
Systems work (Rust, Go, embedded C, kernel modules, real-time pipelines) where the AI tooling is weaker and the patterns are highly specialised.
Pure design / no-code product builds
If the product is genuinely no-code, hire FlutterFlow, Bubble, or Webflow developers (we have those pages too). AI-powered full-stack is for real code shipped fast, not for visual building.
If AI-powered full-stack isn't the right fit
We would rather point you to the right page than push the wrong stack. The list below covers the alternatives we ship most often.
Hire Remote Software Developers From Empiric Infotech LLP
Last updated:
Empiric Infotech is an AI development company and AI consulting partner. We place full-stack engineers who treat modern AI coding tools as a daily production surface, not a novelty. The request can come in as AI consulting, AI development, an artificial intelligence partner for the build, or AI engineers for hire on a dedicated developer model. Same engagement on our side. Cursor and Claude Code for the IDE. GitHub Copilot for autocomplete. v0 and Bolt.new for first-pass UI scaffolding. The Anthropic and OpenAI SDKs for the AI features inside the product. Output is real, reviewed, type-safe, tested code. Pace is roughly 2 to 3x faster on greenfield work. $2,000 per month covers both the engineer and the AI tooling under their fingers.
AI-powered full-stack developers from $2,000 per month
$2,000 per month for 160 hours of full-time, exclusive AI-powered full-stack engineering. Billed monthly. 7-day risk-free trial. Cursor / Claude Code / GitHub Copilot / v0 / Bolt.new tooling included. React, Next.js, Node, Python, TypeScript end-to-end. Real code in your repo, real tests, real CI, full ownership.
Cost shape vs the alternatives
| Empiric Infotech (dedicated, monthly) | Toptal / Arc.dev premium | Upwork hourly | In-house hire | |
|---|---|---|---|---|
| Cost / month | $2,000 | $9,600 - $24,000 | Variable, hourly | $5,500 - $9,000 (mid-level full-stack dev fully loaded) |
| Hours / month | 160 (full-time exclusive) | Capped by hourly cap | Capped by budget | 160 |
| AI tooling fluency | Daily Cursor / Claude Code / Copilot | Varies | Highly variable | Depends on hire |
| Greenfield velocity | ~2-3x hand-coded baseline | Hand-coded baseline | Variable | Hand-coded baseline |
| Onboarding speed | 48 hours | 1-2 weeks | Variable, 1-30 days | 60-90 days |
| Risk reversal | 7-day risk-free trial | 2-week trial period | Milestone-based | Probation period |
| Replacement | Free, within 7 days | Manual rematch | Re-post job | Re-recruit + re-onboard |
Working hours and meeting availability
Our developers work 09:30 AM to 07:30 PM IST, Monday to Friday (10 hours/day, 160-172 billable hours per month). The project manager is available 07:30 AM to 10:30 PM IST. Live overlap by region:
| Region | Developer live overlap | PM available for meetings | What this means |
|---|---|---|---|
| USA East (ET) | 1 hr 9:00-10:00 AM ET | 9:00 PM previous day - 12:30 PM ET | Morning standup + ~3 hr async greenfield build delivered before your day starts. |
| USA Central (CT) | 1.5 hr 9:00-10:30 AM CT | 8:00 PM previous day - 11:30 AM CT | Morning standup + same async window. |
| USA West (PT) | 1 hr 6:00-7:00 AM PT | 9:00 - 11:30 AM PT | Early standup, then PM-led meetings during your morning. |
| UK (BST/GMT) | 5-6 hr 9:00 AM - 2:00 PM BST | Full UK working day (8.5 hr) | Live pair-coding with Cursor / Claude Code, design review, deploy debugging. |
| Germany / France / NL | 6-7 hr 9:00 AM - 4:00 PM CET | Full EU working day (8.5 hr) | Strongest overlap; works like an in-EU AI-augmented engineer. |
| Sydney / Melbourne (AEST) | 3.5 hr 2:00 - 5:30 PM AEST | 12:00 noon - 3:00 AM next day AEST | Afternoon standup + overnight async greenfield builds. |
Empiric Infotech as your AI consulting and AI development company
Two procurement labels show up in our inbox most weeks. AI consultant for a scoping engagement. AI development company for the build. Both ask the same question: how do we get real production AI features (RAG, chat, agents, structured outputs, evals) and the full-stack engineering around them, without writing a six-figure consulting retainer?
Our answer is a single engagement. One AI-fluent full-stack engineer at $2,000/month. The same engineer who picks the architecture and writes the eval suite also builds the React or Next.js surface that consumes the AI features. No handoff between a consulting firm and an engineering firm, no scope-creep contract amendments, no $200 to $400/hour retainer.
On Toptal and Upwork, supply is thin. The developers who actually ship production AI code with Cursor, Claude Code, GitHub Copilot, v0, Bolt.new, and the Anthropic / OpenAI SDKs are rarer still. We've vetted that pool, so the engineer placed with you is fluent in the tooling on day 1, not learning it on your roadmap.
Pace difference is real on greenfield work: a 6-week MVP turns into 2 to 3 weeks, an internal tool ships in days not weeks, a v0 or Bolt.new prototype-to-production migration loses the throwaway-and-rewrite tax. Pace is neutral or slightly negative on heavy legacy refactors, and we tell you so up front. The discipline that matters - human review of every shipped change, type-safety, tests, security - is the engineer's job. The AI tools are an accelerator, not a replacement.
How an AI-powered full-stack engagement with Empiric Infotech LLP works
Our Hiring and Engagement Model
Dedicated Resources
Hourly Basis
How to Hire in 3 Simple Steps
As a leading web and mobile app development company in the USA, Empiric Infotech LLP simplified the process of hiring web and mobile app developers. You can hire software engineers in 3 simple steps: Request, Interview, and Hire.
STEP 01
Request
Share your scope, your stack, and your shipping deadline. We respond with one engineer who fits within 24 hours.
STEP 02
Interview
Meet the engineer, see their AI tooling fluency live (Cursor, Claude Code, v0, Bolt.new), confirm cultural and technical fit.
STEP 03
Onboard
Start your 7-day risk-free trial, ship the first feature within 48 hours, with full code ownership in your repo.
Frequently Asked Questions (FAQs)
Are you an AI consultant, an AI consulting firm, or an AI development company?
What does it cost to hire an AI consultant or an AI development team?
What does "AI-powered" actually mean for the code I get?
Is the code AI-generated, or hand-written?
What's the actual speed gain?
What stacks are your AI-powered engineers fluent in?
Can your engineer build AI features inside the product (chat, RAG, agents)?
How fast can a developer start?
Can I hire monthly with no annual contract?
Ready to ship 2-3x faster on your next greenfield project?
Tell us your scope, your stack, and your shipping deadline. We will introduce one engineer who fits within 24 hours; they start inside 48 hours; the first 7 days are a risk-free trial.
Other Services
We provide comprehensive IT solutions to help businesses stay competitive and innovative in today's digital world.
