Focused, short-term support
Bring in focused engineering support for a launch, backlog, integration, modernization phase, or temporary capacity gap. We clarify the immediate priorities, dependencies, and expected involvement before shaping the work.
Engagement Models
Choose how we build together.
Hire Octonyx through Upwork, extend your team with dedicated engineers, or bring us a defined software project. From MVP development to AI-enabled products, we help you choose an engagement that fits your scope, technical needs, and preferred level of involvement.
Start with the way you want to work
Upwork is a hiring and contracting channel. Dedicated teams and project delivery describe how the work is organized. AI companies can use either delivery model, depending on the work and their internal team.
Hiring channel
Hire Through Upwork
Use the Octonyx agency profile when you prefer to start and manage the conversation on Upwork.
Explore this pathDelivery model
Dedicated Teams
Add focused engineering capacity for a defined phase or ongoing product development.
Explore this pathDelivery model
Projects & MVP Development
Agree on the scope, milestones, and review points for a feature set or early product.
Explore this pathAudience and needs
Solutions for AI Companies
Get product engineering for AI software, through a team or a scoped project.
Explore this pathHiring channel
Work with Octonyx through Upwork.
If your organization prefers to find and contract engineering partners on Upwork, visit the Octonyx agency profile and start a conversation about your requirements there. The profile is a place to begin that discussion; it does not confirm team availability or create an engagement by itself.
This path can suit teams whose procurement or contracting process runs through Upwork. Before work begins, both sides can discuss the scope, availability, responsibilities, review process, and applicable engagement terms on the platform.
Help us understand the opportunity
When you start the conversation, share what you can about:
- Your objective and the outcome you need to support.
- Current product, repository, and technical context.
- Skills or responsibilities the work calls for.
- Expected involvement, dependencies, and constraints.
Delivery model
Dedicated engineering capacity, for the time you need it.
A dedicated team can make sense when work spans a roadmap, needs close collaboration with your engineers, or requires sustained development capacity. Team composition follows the product, technical responsibilities, and skills involved rather than a generic staffing package.
Ongoing product development
For continuing product work, agree on how priorities are planned, reviewed, and adjusted as the roadmap evolves. Regular context sharing and documentation help maintain continuity across an extended effort.
Working as one engineering effort
A team can work alongside your existing product and engineering organization. Agree together on planning, priority setting, communication, code review, delivery checkpoints, and who owns decisions or dependencies.
Onboarding covers the repository and environment access needed for the work, existing architecture and documentation, team conventions, and the knowledge required to contribute safely. Access and handover expectations are established before implementation starts.
Delivery model
Turn a defined product goal into a structured delivery engagement.
Project outsourcing can center on an agreed scope, integration, feature set, modernization initiative, or development phase. MVP development narrows that scope to the essential workflows needed to test a product concept; it does not assume a complete enterprise platform.
Step 1
Clarify the problem
Identify users, goals, requirements, and constraints.
Step 2
Define the scope
Set priorities, assumptions, dependencies, and acceptance criteria.
Step 3
Plan the delivery
Agree on the technical approach, responsibilities, and checkpoints.
Step 4
Design and implement
Build the agreed functionality and review work as it progresses.
Step 5
Test and prepare release
Review the work, plan release responsibilities, and document the result.
Step 6
Handover or continue
Agree on knowledge transfer; scope ongoing support or another phase separately.
Changes stay visible
If new information changes the scope, we discuss the request and assess its effect on priorities, assumptions, acceptance criteria, and delivery plans. The team agrees how to proceed before expanding the work.
Commercial terms are agreed for the engagement. A project may be structured in different ways; the scope and working arrangement determine what fits.
Audience-specific work
Engineering support for AI products and the systems around them.
AI companies need product engineering that turns model and automation capabilities into usable, maintainable software. Octonyx can work on the application and integrations around those capabilities, with the delivery approach shaped by your roadmap and internal engineering capacity.
This offering is focused on product engineering and system integration around AI capabilities. Foundational-model research or large-scale model training should be scoped as separate work and is not implied by this engagement path.
Product and system work can include
- Product interfaces and customer-facing workflows.
- Backend services, APIs, SaaS applications, and integrations.
- AI-enabled workflows, assistants, and automation.
- Data connections and integrations with model providers.
- Evaluation and monitoring workflows when they are part of the agreed product requirements.
Data access
Which data is available, permitted, and needed for the workflow?
Dependencies
Which model providers, APIs, and third-party systems are involved?
Operations
Who owns evaluation expectations, monitoring, and ongoing operations?
Choose a dedicated team when AI product work is part of a continuing roadmap; choose a scoped project when the need and acceptance criteria can be defined around a particular product capability. Both are subject to the agreed scope and dependencies.
Compare the two delivery models
The right structure depends on how defined the work is and how you want to take part in delivery.
| Compare | Dedicated Teams | Projects & MVPs |
|---|---|---|
| Best fit | A roadmap that needs continuing engineering capacity or shared ownership. | A defined feature set, integration, modernization phase, or product goal. |
| Scope and priorities | Priorities are reviewed as the roadmap develops and work is sequenced together. | Work is organized around agreed deliverables, assumptions, and acceptance criteria. |
| Client involvement | Your team provides ongoing direction, context, feedback, and decisions. | Your team contributes requirements and reviews at agreed checkpoints. |
| Team setup | Contributors are selected around the skills and responsibilities the roadmap needs. | The delivery setup reflects the scope, dependencies, and technical approach. |
| Delivery organization | Work follows agreed planning, communication, code review, and delivery practices. | Work is planned against the agreed milestones and acceptance criteria. |
| Handover or continuation | Documentation and knowledge sharing support continuity as work evolves. | Release notes, documentation, and handover are agreed for the project; support or a next phase is scoped separately. |
Upwork is a hiring and contracting channel, not a delivery model. AI-company work can use either delivery approach when the agreed scope supports it.
How an engagement starts
Start with the context needed to choose a useful working arrangement. Details are agreed before delivery begins.
01
Share your goals
Describe what you are building, your current stage, and your constraints.
02
Agree on the approach
Define the engagement, scope, team, responsibilities, and working terms.
03
Onboard and deliver
Set up access and context, then work through agreed checkpoints.
04
Review what comes next
Plan documentation, handover, continuation, or a separate next phase.
Engagement questions
Can we hire Octonyx through Upwork?
Yes. You can visit the Octonyx agency profile and start a conversation there. Availability, responsibilities, scope, and engagement terms are discussed before any work begins; a profile visit does not book a team or create a contract.
Can a dedicated team join our existing engineering workflow?
That can be part of the engagement. We agree how planning, repository access, communication, reviews, documentation, and delivery checkpoints will work with your team before onboarding.
Do you support short-term and ongoing engagements?
We discuss focused support for a launch, integration, modernization phase, or temporary capacity gap as well as ongoing product development. The appropriate scope and availability are confirmed for each engagement.
How do you define the scope of an MVP?
We identify the target users and problem, then prioritize the essential workflows needed to test the product concept. Requirements, assumptions, acceptance criteria, dependencies, and release responsibilities are agreed before implementation.
Which engagement works for an AI company?
An AI company can use a dedicated team for continuing roadmap work or a scoped project for a defined product need. The choice depends on your internal capabilities, dependencies, priorities, and desired level of involvement.
How are scope changes, documentation, and handover handled?
We review proposed changes together and assess their effect on priorities, assumptions, acceptance criteria, and delivery plans before agreeing how to proceed. Documentation and handover are defined for the work. Commercial terms, intellectual-property arrangements, confidentiality, and support commitments are established in the applicable agreement.
Want a deeper comparison? Read Upwork vs dedicated team vs scoped project.
Tell us what you’re building.
Share your goals, current stage, and the support you need. We’ll discuss whether a dedicated team, a scoped project, or an Upwork engagement is the right starting point.