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  3. /Production AI Systems, RAG Pipelines & Automation

Production AI Systems, RAG Pipelines & Automation

Enterprise LLM integrations, document retrieval engines, and automated business workflows that operate with sub-second response times and predictable token economics.

Start a project

Reply within one working day · Fixed quote in 5 days · No sales decks

An engineering team working at monitors showing AI system dashboards

Engagement overview

Book a technical discovery session with our senior engineering lead.

Typical timeline
2 – 6 weeks
Typical team
2 – 4 senior engineers
Delivery guarantee
Fixed price & scope
Calculate project budget and time

Scope you can verify before we start

AI engineering deliverables:

Good fit if

Companies augmenting existing software or building new AI-native products with verified business utility.

  1. 1

    Retrieval-Augmented Generation (RAG)

    Hybrid vector search and reranking over private knowledge bases without hallucination.

  2. 2

    Autonomous Workflow Agents

    Multi-step tool calling, structured JSON output validation, and automated task execution.

  3. 3

    Model Routing & Latency Optimization

    Intelligent fallback between Gemini, Claude, and OpenAI to balance cost and speed.

  4. 4

    Security & Guardrails

    Prompt injection protection, PII redaction, and strict data boundary enforcement.

Predictable engineering momentum

  1. 01

    Scope & Schema

    We lock data models, API contracts, and user acceptance criteria before writing code. You get an exact scope and fixed timeline.

  2. 02

    Interactive Prototype

    Figma user flows and staging reviews so you see working interfaces before engineering spend expands.

  3. 03

    Daily Repository Pushes

    Senior engineers push directly to your GitHub repository. Working code daily with clean pull requests and automated tests.

  4. 04

    Cutover & Warranty

    Zero-downtime production cutover, documentation handover, and a 30-day post-launch warranty with full code ownership.

Technologies we use for production ai systems, rag pipelines & automation

  • Python
  • FastAPI
  • LangChain
  • pgvector
  • OpenAI
  • Anthropic Claude
  • Gemini API

Related services

  • AI SaaS Product Development
  • AI Chatbot & RAG Development
  • Workflow Automation Development
All services

Frequently asked questions

Questions we hear on discovery calls—answered plainly.

How do you control unpredictable API costs?

We implement semantic caching, prompt compression, and model routing to keep operational costs low.

Can our proprietary data remain private?

Yes. We configure zero-retention API endpoints and private VPC vector stores.

Related services and resources

Hub: ai-systems. Explore the spokes and downloads buyers use before signing scope.

Spoke services

  • Web DevelopmentNext.js platforms with auth, APIs, admin, and deploy-ready UI—fixed scope and ti…
  • Mobile App DevelopmentReact Native for iOS and Android from one codebase—store-ready builds when you n…
  • E-Commerce SolutionsShopify and custom storefronts focused on conversion, checkout, and catalog ops—…
  • Custom Software DevelopmentBespoke SaaS, internal tools, and integrations when off-the-shelf products do no…

Guides, audits and templates

  • All servicesHub
  • Case studiesHub

Ready to build with senior engineers?

You get a fixed quote in 5 working days. Then a senior engineering team that ships.

Start a projectReply within one working day.