Keitton × UsefulBI · Partner proposal

Scale AI Delivery Without Slowing Down.

Keitton provides UsefulBI with English-speaking nearshore AI, data and cloud engineering talent embedded directly into client delivery teams.

14 days

Typical requirement-to-ready timeline

7–10 days

Typical sourcing and technical matching

English + AWS

Core talent-pool requirements

01 · The opportunity

Built for the UsefulBI Consulting Model.

UsefulBI is delivering AI, data and technology solutions for enterprise clients. As demand grows, the challenge is having the right technical capacity available to deliver it.

Keitton provides an additional engineering talent layer when a project requires AI, data, cloud or software engineering capacity.

UsefulBI wins and scopes the client engagement. Keitton helps provide the engineering capacity.

Engineers work full-time alongside UsefulBI FTEs, client teams and other consultants.

02 · Partnership model

From Client Demand to Engineering Capacity.

Client requirement

An AI, data or technology initiative.

UsefulBI

Scope, solution and team definition.

Keitton

Sourcing and technical evaluation.

Deployment

Selection, contracting and onboarding.

Delivery

Full-time, embedded contribution.

Your team manages the work. Keitton helps you add the people.

FIG 05Delivery responsibilities

UsefulBI

Client relationship, scope and pricing

Keitton

Sourcing, matching and talent support

Engineers

Embedded in UsefulBI delivery

Engineers join the existing delivery team, not a separate agency project.

03 · Talent access

AI, Data & Cloud Engineering Talent.

Built around the technical profiles UsefulBI is already hiring for.

Role	Level	Core capabilities
AI Engineer	Mid / Senior	Python, ML, GenAI, LLMs, RAG, APIs, vector databases, AWS, MLOps
AI Architect	Senior / Lead	GenAI architecture, RAG, Bedrock, SageMaker, security, production AI
Data Architect / Engineer	Senior	SQL, modeling, ETL/ELT, warehouses, lakes, Spark, Kafka, cloud
AWS / Cloud Engineer	Junior–Senior	AWS, infrastructure, security, deployment, APIs, DevOps
MLOps Engineer	Mid / Senior	MLflow, Docker, Kubernetes, CI/CD, monitoring, model versioning
Full-Stack AI Engineer	Junior–Senior	Python, React, APIs, databases, AI/LLM integration, AWS
Python Backend Engineer	Junior–Senior	Python, APIs, microservices, SQL/NoSQL, AWS
QA / Automation Engineer	Junior–Senior	Automation, API testing, CI/CD, AI application testing

English and client-ready communication required

AWS and cloud depth matched to each role

Production experience prioritized

Role-specific technical screening

U.S. time-zone overlap

Specialized requirements matched per engagement

04 · Seniority + partner pricing

Flexible Talent. Predictable Partner Economics.

Keitton provides UsefulBI with partner pricing. UsefulBI determines its client-facing commercial model based on the scope, complexity and value of each engagement.

Junior · 1–3 years

$4,000–$5,000 / month

Defined tasks, QA, application support and established teams.

Mid-level · 3–5 years

$5,500–$6,500 / month

Independent development, integrations, AI applications and data engineering.

Senior · 5+ years

$7,000–$8,500 / month

Complex engineering, production AI and independent technical ownership.

Senior / Lead · 7+ years

$9,000–$12,000+ / month

Architecture, technical leadership, enterprise systems and specialized GenAI.

Illustrative planning ranges only. Final pricing is confirmed after requirements, seniority, technology stack and candidate availability are evaluated.

05 · Scale the team

Start With One Engineer. Scale Into a Delivery Team.

Senior AI / GenAI

AI / Full-Stack

Data Engineer

AWS / MLOps

QA / Automation

Illustrative 5-person team

Role mix and final range depend on project requirements.

$30,000–$38,000/month

Let’s Build the First Team.

Send the roles, technical requirements and number of engineers required. We’ll develop a recommended talent profile, candidate plan, expected timeline and partner pricing.