Dedicated AI Developers

AI talent that joins your team ready to ship.

Add vetted AI, LLM, ML, data, and MLOps specialists within days — one engineer, a delivery pod, or a complete cross-functional team.

Start in daysNot months
Flexible scaleOne person to a team
Your IPCode, models & docs
Dedicated team system

From a talent gap to an accountable delivery team.

Interactive framework
Decision 01

Which roles and ownership model does the roadmap require?

The team is designed around outcomes, product stage, architecture, delivery risk, internal capability, and the work that must be owned.

Option AOne specialist

Add a focused capability to an established internal team.

Option BDelivery pod

Combine complementary roles around one product workstream.

Option CFull team

Provide cross-functional ownership from build through release.

Decision 02

What determines whether a developer is genuinely suitable?

Selection considers the actual product context, technical depth, domain, communication, ownership, overlap hours, and delivery environment.

Technical depthArchitecture · Code · Tooling
Product contextStage · Domain · Users
Working fitCommunication · Overlap · Ownership
Delivery evidenceOutcomes · Quality · Reliability
Decision 03

How will the new team become productive quickly?

Access, environments, product context, responsibilities, technical standards, communication, and initial milestones are established deliberately.

01Context

Users, product, architecture, roadmap, and current constraints.

02Access

Repositories, environments, tools, documentation, and security.

03Ownership

Responsibilities, review, decisions, reporting, and escalation.

04Delivery

Initial milestone, quality expectations, and working cadence.

Decision 04

How will the team scale without losing knowledge or control?

Documentation, code review, shared ownership, technical leadership, and planned transition reduce dependency on individual people.

Add a new specialistPlanned scaleRole brief
Change capacity after launchFlexibleNotice plan
Replace a team memberTransitionKnowledge transfer
Complete the engagementHandoverCode and docs
Final outcome

The right delivery capacity with clear ownership, structured onboarding, flexible scale, and protected continuity.

How the team model works

Four decisions create a team that contributes, not just a list of available profiles.

The service is represented around team effectiveness: choosing the right shape, matching the right people, creating fast contribution, and protecting continuity.

Outcome

A flexible delivery team with clearer ownership, faster contribution, and lower continuity risk.

01

Choose the right team shape

We determine whether the roadmap needs one specialist, a focused pod, or a full cross-functional team.

Product stage and ownership needsSkill gaps and delivery dependenciesCapacity, seniority, and working hours
02

Match for context, not keywords

Profiles are evaluated against the actual work, architecture, communication, and responsibility required.

Technical depth and relevant delivery evidenceDomain and product-stage experienceCommunication, overlap, and ownership fit
03

Create structured onboarding

Product context, access, standards, responsibilities, and the first delivery milestone are established early.

Environment, tools, and repository accessDocumentation and technical orientationCadence, review, reporting, and escalation
04

Scale while protecting continuity

Shared ownership, documentation, review, and planned transitions reduce dependency on any one person.

Flexible role and capacity changesKnowledge transfer and replacement supportCode, documentation, and handover discipline
Roles available

Specialists for every layer of the AI product stack.

Profiles are matched to the actual product, domain, architecture, and working model — not just keywords on a résumé.

01

LLM & Agent Engineers

RAG, orchestration, tool calling, memory, evaluations, guardrails, and model integration.

02

ML & Data Engineers

Data pipelines, feature engineering, forecasting, recommendation, and model deployment.

03

MLOps Engineers

Serving, CI/CD, observability, infrastructure, security, and production operations.

04

Full-stack AI Engineers

User experience, APIs, integrations, and AI capabilities built as one product system.

Why Cosnet is different

More than résumé supply.

We combine talent matching with engineering support and delivery accountability.

Typical staff augmentation

Matches candidates mainly by role title and keyword.

Leaves onboarding, architecture, and delivery risk entirely with you.

Provides limited backup when priorities or staffing change.

Measures success by seat utilisation rather than shipped outcomes.

Cosnet dedicated teams

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Matches for product context, stack, domain, seniority, and communication.

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Supports the engineer with technical leadership, QA, and delivery structure.

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Lets you add, replace, or scale roles as the roadmap evolves.

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Works toward milestones, quality, and production progress.

Technology stack

Specialists available across the modern AI product stack.

Teams can be assembled around one technology, a connected product workstream, or the full delivery lifecycle. The stack shown below represents common capabilities rather than a restrictive list.

Layer 01

AI & machine learning

PythonLLM applicationsRAGAgentic AIPrompt and evaluation systemsMLOps
Layer 02

Frontend

ReactNext.jsVueTypeScriptJavaScriptDesign systems
Layer 03

Mobile

React NativeFlutteriOSAndroidPWAMobile integrations
Layer 04

Backend

Node.jsNestJSPythonPHPRESTGraphQL
Layer 05

Cloud, data & DevOps

AWSAzureGoogle CloudPostgreSQLMongoDBDocker and Kubernetes
Layer 06

Product delivery

UI/UX designQuality assuranceAutomation testingTechnical leadershipProject managementBusiness analysis
Product perspective

Dedicated talent supported by a complete delivery environment.

Cosnet’s engagement model combines role matching with onboarding, technical support, quality practices, delivery visibility, and flexible scaling. The objective is not simply to fill a seat, but to help the assigned people contribute effectively to the product.

Cosnet product thinking

People placed in a system that helps them deliver.

The team structure can include individual specialists, a focused pod, or a broader cross-functional unit. Responsibilities, technical ownership, communication cadence, access, quality expectations, and escalation routes are agreed before delivery begins.

Context-based role matching

Better technical fit

Profiles are selected against the product stage, architecture, domain, required seniority, communication expectations, overlap hours, and the work the person will actually own. This is more useful than matching only a technology keyword or job title.

Structured onboarding

Faster contribution

The onboarding plan can cover product context, codebase access, development environments, documentation, security, ways of working, initial milestones, and decision ownership. This helps new team members reach useful contribution faster and with fewer avoidable blockers.

Optional delivery support

More than staffing

Dedicated developers can be supported by a Cosnet technical lead, QA engineer, designer, project manager, architect, or DevOps specialist. This is useful when the client needs execution capacity but does not want to build every supporting function internally.

Flexible continuity and scale

Lower continuity risk

Roles can be added, reduced, or replaced as priorities change. Knowledge transfer, documentation, code review, and delivery visibility reduce dependency on one individual and help maintain continuity across longer engagements.

Client testimonials

What clients say about working with Cosnet.

Published feedback from organisations that have worked with Cosnet across websites, applications, product delivery, and dedicated teams.

“Cosnet helped us to design a website and working with them was a very positive experience. We would recommend them!”
Chris Issacs
Chris IssacsCEO, LIONHEART
“Cosnet was able to interpret our needs from the original coding we shared with them and produce a totally flexible solution. The team that was assigned was very professional, we would like to continue with Cosnet as we are very satisfied with their technical expertise and the product they have produced.”
Dennis Goldmen
Dennis GoldmenCEO, DREAM
“Cosnet is a reliable partner delivering quality solutions. They excel in IT planning, project management, and clear communication, ensuring outcomes exceed expectations. Highly recommended!”
Matt Quondam
Matt QuondamCEO, Action Trucks
“Cosnet’s dedicated team is good in managing the app launch and delivery process. We recognize some synergies between our companies and would like to explore options for working together in the future.”
AI Sasnowski
AI SasnowskiCEO, ELBY BIKE
Frequently asked questions

Useful detail before the first conversation.

These answers explain the scope, delivery approach, controls, and practical decisions involved in the service.

Timing depends on the required role, seniority, stack, domain, working hours, and current availability. Once the brief is clear, Cosnet can shortlist people whose experience matches the actual responsibilities rather than sending a large volume of loosely relevant CVs. The process may include profile review, technical discussion, client interview, reference to previous work, and alignment on start date and engagement terms.

Yes. The model can begin with one AI, backend, frontend, mobile, data, QA, DevOps, or design specialist. For broader ownership, Cosnet can assemble a pod containing complementary roles, or a full cross-functional team with technical leadership and delivery management. The structure can change as the product moves from discovery and prototype into implementation, launch, and ongoing development.

The working model is agreed during onboarding. Developers can join the client’s communication tools, source-control workflow, issue tracker, ceremonies, documentation, code-review process, and release cadence. Responsibilities, overlap hours, reporting, technical ownership, escalation routes, quality expectations, and initial milestones are documented so both teams understand how delivery will operate.

The engagement can be adjusted as the roadmap evolves. A client may need a different seniority level, an additional specialist, less capacity after a launch, or a replacement because of fit or availability. Cosnet can support planned transition, knowledge transfer, documentation, access changes, and revised ownership so delivery continuity is protected as much as possible.

The commercial agreement can assign the client ownership of the project code, approved deliverables, documentation, and other intellectual property created for the engagement, subject to the agreed terms and any declared pre-existing components or third-party licences. Access, repositories, confidentiality, security requirements, and handover expectations should be established at the beginning so there is no ambiguity later.

Tell us the roles. We’ll assemble the team.

Share your stack, goals, and talent gaps. We will return with relevant profiles and a recommended team structure.

Book a consultation call →