Your On-DemandAI Engineering Team

Launch transformative AI in weeks, not months. Get a senior AI engineering team at 67% less than the cost of one full-time hire in major tech markets.

67%Cost Savings
2.8xFaster Delivery
100%Senior Expertise

How We Deliver Unlimited AI Engineering for $5,000/mo

It's simple: You get a dedicated senior AI engineer focused on your highest-priority task at any given moment.

1

One Task at a Time

Our engineers apply a methodical approach to each client's highest-priority tasks. This focused execution means faster progress, higher quality, and better results for all of our clients.

100% of focus on your highest priority

Proprietary Task Decomposition

Our AI platform breaks complex projects into sequential, manageable tasks that fit our one-at-a-time workflow, turning massive initiatives into achievable steps.

Priority-Based Queue Management

You control which tasks get done first. Our system ensures your engineer always works on what matters most to your business at that moment.

Asynchronous Workflow (No Meetings)

We optimize for deep work. Communication happens asynchronously via our platform, eliminating time-consuming meetings and maximizing your engineer's focus.

Template Acceleration

Our library of 50+ pre-built project templates means we don't start from scratch, dramatically accelerating implementation time compared to traditional development.

What is an AI Engineering Task?

A task is a discrete AI engineering deliverable with clear boundaries and completion criteria. Our proprietary AI platform breaks down complex requirements into sequential, manageable tasks - even when described in non-technical terms.

Simple Tasks

6-15 days
  • LLM prompt engineering and optimization for a specific use case
  • Integration of pre-trained model APIs into your existing application
  • Data pipeline refinement for improved model inputs

Medium Tasks

15-30 days
  • Custom fine-tuning of foundation models on your proprietary data
  • Creation of a recommendation system using your user behavior data
  • Development of document processing workflows with custom extraction logic

Complex Tasks

30-45 days
  • End-to-end machine learning solution including model training and deployment
  • Multi-modal AI systems combining text, image, and structured data
  • Development of AI agents with tool-using capabilities for business process automation

Note: When a task requires more than 45 days, we'll work with you to break it down into smaller, sequential tasks to ensure quality and maintain our focused execution approach.

AI-Powered Task Breakdown

Our AI analyzes your business needs and automatically transforms them into step-by-step engineering tasks—no technical jargon required.

  • Natural Language InputDescribe your needs in plain English—no technical jargon required. Our AI understands your business context.
  • Automated Task BreakdownOur AI breaks complex projects into sequential, manageable tasks with clear dependencies and timelines.
  • Progress VisibilityMonitor your project's advancement with granular task-level tracking in our intuitive dashboard.

Example: Task Definition

Your Request
"We need a system that helps our sales team find the right documents for each client conversation."
AI-Generated Task Breakdown
  1. Requirements analysis for document retrieval system
  2. Design document categorization and tagging schema
  3. Implement semantic search functionality
  4. Build user-friendly interface for sales team
  5. Integrate with existing CRM
  6. Launch and refine based on user feedback

How We Accelerate Your AI Initiatives

Our streamlined process delivers results faster than traditional hiring or consulting approaches.

Define & Prioritize

Submit AI engineering tasks to your queue and prioritize them based on business impact. Our AI system automatically breaks down complex requirements into clear, sequential tasks.

We Execute

Our expert team works on your highest priority task, giving you regular updates and addressing questions or feedback throughout the process.

Review & Deploy

Receive production-ready solutions with complete documentation. We help with deployment and ensure smooth integration with your existing systems.

Your First Implementation Milestones

Week 1

Kickoff & First Implementation

We move fast: Day 1 onboarding call, day 2-3 requirements validation, and by the end of week 1, we start building your first deliverable.

Week 2-3

First Working Prototype

Get a functioning prototype to review and provide feedback on. For simpler tasks, you might already have a production-ready solution at this stage.

Week 4-6

Production Deployment

Your solution is refined, tested, and deployed to production with documentation. Meanwhile, we are already working on your next priority task.

Timeline adjusts based on task complexity and technical dependencies. During onboarding, we will provide a customized timeline for your specific priorities.

Why AI Implementation Matters Now More Than Ever

First-Mover Advantage

Companies implementing AI solutions today are seeing 3-5x ROI compared to industry peers. Early adoption creates significant competitive moats.

Talent Shortage

The demand for AI engineers has grown 74% annually, with a 295,000 talent gap. Companies waiting to hire in-house are facing months of delays.

Accelerating Innovation Cycles

AI capabilities are doubling every 3-6 months. Companies who can rapidly implement are maintaining their edge while others fall behind.

The Cost of Waiting

Market Share Loss12-18% annually
Time to Implement+3 months per quarter
AI Engineer Salary+15% annually
"The companies that will dominate in the next decade will be the ones who had the foresight to implement AI in their core operations today."

— McKinsey Global Institute

Key Benefits

Your AI engineering needs handled by experts who work as an extension of your team.

Dedicated Team

Work with a dedicated team of AI engineers who understand your business needs and context.

Task Prioritization

You control the priority queue, allowing you to decide which tasks get completed first.

Unlimited Requests

Submit as many AI engineering requests as you need. We work through them one at a time.

Fast Turnaround

Get tasks completed efficiently with our streamlined workflow and expert engineers.

Transparent Progress

Monitor task progress in real-time with our intuitive dashboard and regular updates.

Flexible Integration

Our team integrates seamlessly with your existing workflows, tools, and processes.

Perfect Projects for Our Service

These examples illustrate the types of AI solutions that work exceptionally well within our one-task-at-a-time model.

AI Prototyping

Rapidly develop a working prototype of an AI-powered process or product that demonstrates core functionality and value, ready for stakeholder feedback and iterative improvement.

Why it's ideal:

Delivers tangible results quickly, validates your AI concept, and provides a foundation for full-scale development with real user feedback.

Typical timeline:

2-4 weeks for a functional prototype

AI-Powered Customer Support Bot

Implement a custom chatbot using existing LLM APIs (like GPT-4 or Claude) that can answer product questions, troubleshoot common issues, and create support tickets when human assistance is needed.

Why it's ideal:

Leverages existing APIs rather than custom model training, has clear integration points, and can be implemented in well-defined phases.

Typical timeline:

2-3 weeks from requirements to production

Automated Document Processing

Build a system that extracts specific data points from standardized documents (invoices, contracts, forms) and integrates with your existing workflow systems.

Why it's ideal:

Clear scope with specific document types, defined extraction fields, and measurable accuracy targets.

Typical timeline:

2 weeks for initial implementation with standard document types

Content Generation Workflow

Implement a system that generates and manages marketing content, product descriptions, or support documentation based on your brand guidelines and content strategy.

Why it's ideal:

Utilizes existing LLM capabilities with custom prompt engineering rather than extensive model training.

Typical timeline:

1-2 weeks for initial implementation

Projects Requiring Additional Scoping

Some AI initiatives are more complex and may not fit neatly into the one-task-at-a-time model. These typically require breaking down into multiple sequential tasks:

  • Custom Model Training: Projects requiring training models from scratch with proprietary datasets typically need multiple phases including data preparation, model architecture design, training infrastructure setup, and deployment.
  • Enterprise-Wide AI Transformations: Initiatives that impact multiple departments or core business processes are better approached as programs with several discrete implementation tasks.
  • Real-Time Processing Systems: Projects with stringent performance requirements for processing high volumes of data in real-time often require specialized architecture and infrastructure work.

For these more complex initiatives, we recommend starting with a paid discovery phase to properly scope and sequence the work.

Template Project Library

Browse our extensive collection of pre-configured AI project templates for immediate implementation.

Featured Templates

Access to 50+ templates
LLM & Generative AI

Build Custom Chatbot using LLM API

9 pre-defined tasks2-4 weeks

Implement a tailored chatbot solution leveraging LLM APIs with custom workflows and integrations for your business needs.

View Template
MLOps & Deployment

Deploy ML Model as REST API Service

9 pre-defined tasks1-2 weeks

Transform your trained ML model into a production-ready REST API with scalable infrastructure, monitoring, and documentation.

View Template
ML Model Development

Develop Customer Churn Prediction Model

10 pre-defined tasks3-4 weeks

Build an accurate prediction system to identify at-risk customers before they leave, using your historical customer data.

View Template

Find the Perfect Template

Our template library includes categorized, searchable project templates across 7 key AI specializations.

Explore Library
7
AI Categories
50+
Project Templates
70%
Time Savings
1-Click
Implementation

AI Ethics & Governance

AI Strategy & Planning

Data Analysis & Visualization

Data Engineering & Pipelines

LLM & Generative AI

ML Model Development

MLOps & Deployment

Become an AI-Powered Market Leader

Accelerate your AI initiatives with unlimited engineering requests at a fixed monthly rate

Save 10% Annually

Annual Plan

$4,500/month
Billed annually
1 active request at a time
Unlimited requests
~2-3 days per subtask
Unlimited project types
Pause or cancel anytime
Schedule Call

Compare Your Options

See how our solution dominates traditional approaches

Annual Cost

AI Engineer$60,000
Best value for senior expertise
In-house Hiring$180,000 - $250,000
3-4x more expensive
Traditional Consulting$150,000 - $300,000
2.5-5x more expensive

Time to Start

AI EngineerImmediate
Start your first task today
In-house Hiring3-6 months
Lengthy hiring process
Traditional Consulting2-4 weeks
Lengthy contracts & scoping

Commitment

AI EngineerCancel anytime
Maximum flexibility
In-house HiringLong-term employment
Significant commitment
Traditional ConsultingFixed-term contract
Minimum engagements

Expertise & Focus

AI Engineer
  • Senior AI expertise guaranteed
  • 100% focus on your priority task
  • Direct access to engineers
In-house Hiring
  • Expertise varies by hire
  • Split across responsibilities
  • Internal meetings and overhead
Traditional Consulting
  • Often junior implementers
  • Divided across multiple clients
  • Multiple communication layers

Our Technical Approach

AI Engineer implements best practices in AI development and deployment

Foundation Models

  • GPT and O series
  • Claude
  • Gemini
  • Hugging Face Transformers
  • Open-source LLMs (Llama, Mistral)

Machine Learning

  • PyTorch & TensorFlow
  • Scikit-learn
  • ONNX Runtime
  • Custom models

Data Engineering

  • Apache Spark
  • Pandas & Dask
  • SQL & NoSQL databases
  • ETL pipelines

Deployment

  • Docker & Kubernetes
  • AWS, Azure, GCP
  • MLOps tooling
  • Monitoring systems

Development Methodology

01

Requirement Analysis

Detailed understanding of business objectives and technical constraints

02

Data Assessment

Evaluation of data quality, quantity, and relevance

03

Proof of Concept

Rapid prototyping to validate approach

04

Iterative Development

Regular feedback cycles with incremental improvements

05

Production Deployment

Robust implementation with monitoring and maintenance

Common Questions

Everything you need to know about our AI engineering service

How can you offer unlimited AI engineering for just $5,000/month?

We deliver high value at this price point through our unique one-task-at-a-time model. Traditional development involves juggling multiple parallel tasks, which creates inefficiency through context-switching and divided progress. Our engineers focus 100% on your highest priority task until completion, then move to the next. This focused approach eliminates context-switching costs and dramatically increases efficiency. Combined with our proprietary task decomposition system and pre-built templates, we deliver more value by working smarter—not by compromising on engineering quality.

How does the queue prioritization work?

You have complete control over the priority of tasks in your queue. Our proprietary AI platform breaks down your complex requirements into manageable tasks automatically. You can drag and drop tasks to rearrange their order at any time, and we'll always work on the highest priority task first. This ensures your most critical needs are addressed immediately while maintaining our focused approach.

What types of AI engineering tasks can I request?

Our team handles a wide range of AI engineering tasks including LLM applications and fine-tuning, custom machine learning model development, data pipeline optimization, recommendation systems, computer vision solutions, natural language processing, AI strategy consulting, existing system optimizations, and custom integrations with your technology stack.

How quickly will my tasks be completed?

Completion time varies based on task complexity: Simple tasks: 6-15 business days, Medium complexity: 15-30 business days, Complex implementations: 30-45 business days. We provide estimated completion times during the task scoping process and keep you updated on progress throughout implementation.

What happens if a task takes longer than expected?

If we discover that a task will take longer than initially estimated, we'll communicate this immediately and provide options: 1) Break the task into smaller, more manageable subtasks, 2) Revise the scope to fit within the original timeline, 3) Proceed with the extended timeline with transparent updates. Our goal is to ensure you always have visibility and control over the process.

How does your team structure work?

AI Engineer operates as a boutique service, providing direct access to senior AI expertise. This streamlined structure eliminates communication layers and ensures you work with experienced professionals throughout your project. As we grow, we'll maintain this approach by carefully selecting additional senior engineers who share our quality standards.

How do you handle intellectual property rights?

All code, models, and assets we create for you belong to your company. We transfer full intellectual property rights for all deliverables upon completion and payment. We maintain strict confidentiality regarding your business data and implementation details.

Schedule Your AI Readiness Consultation

Book a consultation where we'll explore your company's needs, the types of projects you want to pursue, and determine the best AI implementation approach for your business.

Ready to Build Your AI Future?

Get started today with our AI engineering subscription and bring your AI initiatives to life.