Product · 12

One senior engineer. Full product ownership. AI built in.

From architecture and UI/UX design to AI integration, backend APIs, database, and deployment — a single senior specialist who sees the whole product, not just a slice of it.

E2EDesign to deploy
Claude+ OpenAI + Gemini
6 wksTypical timeline
Senior developer reviewing AI-integrated product architecture — full stack engineering

What you get

What a senior AI full stack engagement includes.

End-to-end product ownership — design, AI integration, full stack engineering, and deployment — under one senior specialist.

Claude, OpenAI, and Gemini API integration
RAG pipelines and vector databases
AI agents, tool use, and MCP workflows
Fine-tuning and prompt engineering
React and Next.js frontend
Node.js / Python backend APIs
PostgreSQL, MongoDB, Redis
REST and GraphQL API design
User research and journey mapping
Figma wireframes and prototypes
CI/CD pipeline setup
Cloud deployment (AWS / GCP / Vercel)

Technology stack.

ReactNext.jsTypeScriptNode.jsPythonPostgreSQLSupabaseClaude APIOpenAILangChainPineconeFigmaTailwind CSSDockerAWSVercel

Modern, production-grade choices across every layer — frontend, backend, AI, and infrastructure.

Process

How we build AI-first products.

  1. 01

    Discovery & architecture

    Goals, users, and constraints mapped. System architecture, data model, and AI integration strategy defined before any code is written.

  2. 02

    Design

    High-fidelity Figma designs covering all key user flows, reviewed and approved before development begins.

  3. 03

    Core build

    Frontend, backend, database, and AI integration developed in parallel with daily progress updates.

  4. 04

    QA & optimisation

    Cross-device testing, AI output quality review, performance audit, security check, and Lighthouse pass.

  5. 05

    Launch & handover

    Deployment, CI/CD pipeline live, documentation delivered, team walkthrough, and 30 days of post-launch support.

Pricing

Clear packages, no surprises.

Starter
$3,500

An AI-powered MVP with core features, design, and cloud deployment.

  • AI/LLM integration
  • React / Next.js frontend
  • Backend + database
  • Deployed + documented
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Most popularGrowth
$8,400

A full AI product with advanced integrations, design system, and QA.

  • RAG pipeline / vector DB
  • Full UI/UX design
  • Advanced AI features
  • Testing & CI/CD
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Enterprise
$17,500+

Complex AI platform with ongoing senior-level product partnership.

  • Scalable architecture
  • Multi-model integration
  • Dedicated senior engineer
  • SLA & retainer
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FAQ

Common questions.

What makes this different from your Full-Stack Web Apps service?+

The AI Full Stack service combines product design, LLM/AI integration, full stack engineering, and DevOps into a single senior-level engagement. It's suited to AI-first products, complex product sprints, and projects where design and engineering decisions are deeply connected.

Which AI models and frameworks do you work with?+

We primarily work with Anthropic Claude, OpenAI GPT-4o, and open-source models via Ollama or Hugging Face. On the framework side: LangChain, LlamaIndex, Vercel AI SDK, and direct API integration depending on the use case.

Can you work within our existing codebase?+

Yes. We review the existing stack, agree on conventions, and integrate new features without disrupting what's already working.

Do you handle both design and development, or just one?+

Both. This service covers UX research, Figma design, frontend code, backend APIs, AI integration, and deployment. You don't need to hire separately for design.

What if we only need the AI integration piece?+

Our standalone AI-Powered Solutions service (from $1,050) covers LLM integrations, automations, and chatbots without the full product build.

senior ai full stack developer

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Free 30-minute consultation. No commitment required.

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Starting price
from $3,500

Exact quote after free consultation

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Ready to start your senior ai full stack designer & developer project?

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