AI Integration & Automation for Your Product

Starting at

$

4,000

About this service

Summary

Startups want AI - but not over-engineered research projects. I build practical, production-ready AI features that users actually benefit from.
I’ve integrated AI into real products with 60,000+ users, including full RAG search, AI tutors, content generation, smart analytics, and background automation.
You’re getting a senior full-stack engineer who understands both the engineering and product sides of AI. I handle the entire lifecycle: prompting, embeddings, vector search, backend logic, and UI implementation.
Whether you need an AI chatbot, a search system, or automated workflows, I deliver features that are fast, reliable, and easy to maintain.

FAQs

  • Do I need a vector database?

    Not always. I’ll recommend what’s best (RAG, simple prompts, hybrid retrieval, etc.).

  • Can you build both backend AND UI?

    Yes — full-stack is my specialty.

  • What LLMs do you support?

    OpenAI, Anthropic, Google, Azure, and open-source models.

  • Can you improve our existing AI feature?

    Absolutely — many teams come to me when their current AI feels slow, blurry, or unreliable.

  • Do you support mobile apps?

    Yes — I can integrate AI into React Native apps.

What's included

  • AI Feature Design & Integration Strategy

    I help you define the exact AI feature your product needs—chatbot, tutor, RAG search, or automation—and create a clear plan for how it should work, what model to use, how to structure prompts, and how it fits into your existing stack.

  • Chat Assistant / Domain-Specific Agent

    I build intelligent assistants tailored to your product - customer support bots, learning tutors, workflow agents, or domain-specific expert systems—with streaming responses, memory handling, and guardrails.

  • Embeddings Setup + Vector Database (Pinecone, Supabase, pgvector)

    I structure your data, generate embeddings, and set up a vector database for fast, relevant retrieval. This includes schema design, chunking strategy, indexing, and query optimization.

  • RAG Pipelines (Retrieval, Summarization, Contextual Responses)

    I implement end-to-end Retrieval-Augmented Generation pipelines: pulling relevant data, summarizing it, adding context, and producing accurate, grounded LLM responses with minimal hallucination.

  • Automation Workflows (Email, Onboarding, Dashboards, Insights)

    I create AI-powered automations that save time—email sequences, onboarding flows, data analysis, KPI summaries, content tagging, and other background tasks that help your product run itself.

  • Content Generation & Text Transformations

    I build tools for rewriting, summarizing, generating content, creating drafts, formatting text, or transforming user input—perfect for SaaS, education tools, and marketing applications.

  • API Integration (OpenAI, Anthropic, AssemblyAI)

    I connect your product to leading AI APIs (OpenAI, Claude, Whisper/AssemblyAI, etc.) and handle prompts, streaming, rate limits, retries, model selection, and secure server-side setup.

  • Secure Backend Implementation + Production Deployment

    I build the backend logic, routes, authentication, rate-limiting, caching, logging, and deploy everything safely to production with low latency and proper security.

  • Documentation for Future Updates

    I deliver clear, developer-friendly documentation covering prompts, embeddings, vector schemas, API routes, context windows, and instructions for maintaining and extending your AI features.


Duration

2 weeks

Skills and tools

Software Engineer

AI Engineer

Fullstack Engineer

Next.js

Next.js

Node.js

Node.js

OpenAI

OpenAI

React

React

TypeScript

TypeScript

Industries

Computer Software