Need AI development capacity without committing to a full-time hire? Multidivs provides dedicated AI developers for defined projects, ongoing development, and support for existing teams. You get hands-on development capacity without adding permanent employment overhead.
Project-based. Ongoing. Team support. We focus on development, not consulting.
Your AI developer, integrated
Project · Team · Production
AI Development
RAG · APIs · Agents ✓
engagement = "flexible"
no long-term lock-in
Hiring a dedicated AI developer makes sense when you have real AI development work but don't have the internal capability or capacity to execute it. It is not a shortcut around unclear requirements. The best engagements start with a defined problem, a clear outcome, and a team that is ready to build.
"The engagements that go well start with a defined problem. We're developers, not discovery consultants.
— Multidivs
You have developers, but none with AI model integration, RAG systems, or AI-heavy application experience.
You want AI features developed alongside your existing product work without pulling your team off core work.
You have a scoped AI project and need someone to execute it, not plan it.
A proof of concept or no-code tool worked for testing. Now you need production-grade development.
Not a permanent hire, a developer or team for the duration of a specific build.
// DEDICATED AI DEVELOPMENT
// WHEN ANOTHER MODEL FITS
They build. Specifically:
Developing and integrating AI features into your product: chatbots, document processing, intelligent search, classification systems, recommendation logic, AI agents.
Connecting your application to AI model APIs, managing prompt architecture, context windows, output validation, and cost-per-operation.
Building retrieval-augmented generation systems that answer questions from your own data accurately.
The development work that supports the AI layer: Python or Node.js APIs, database design, authentication, and deployment.
React interfaces for AI-powered features inside web applications and SaaS products.
Working within your current development process, using your tools, following your code standards.
A simple structure keeps the engagement focused on development capacity, ownership, and measurable delivery.
Tell us what you need built. We ask specific questions about your existing stack, the AI requirements, and how the developer would work with your team.
We confirm a developer whose skills match your requirements and whose availability fits your timeline.
The developer starts work. Project-based engagements have defined milestones. Ongoing arrangements are structured around your delivery cadence.
Code is yours. Documentation is yours. The engagement ends cleanly when the work is done.
Every AI developer engagement is a set of technical and process decisions, and each one has consequences for what gets built and whether it lasts.
We match developer availability to your timeline and scope. Project-based engagements have milestones. Ongoing arrangements run on your delivery cadence. The developer integrates with your tools, your repo, and your process from day one.
40–70%
savings vs US rates
~1 week
avg time to start
0
post-engagement lock-in
Before code, the requirement needs to be precise. Vague briefs produce the wrong product at any skill level. We ask specific questions about stack, AI requirements, and team integration before confirming a match.
Model integration, RAG pipelines, and agent architecture require different skills from standard web development. The developers we put on AI projects have shipped AI features in production environments, not just proofs of concept.
The developer works within your existing stack, your tools, your repo structure, your deployment process. If your stack is unusual, we confirm compatibility before the engagement starts.
Most work runs async with structured daily updates. Decisions that need real-time discussion get scheduled calls. Overlap hours with US, UK, and EU clients are confirmed at engagement start.
AI components require accuracy testing, latency benchmarking, cost-per-operation analysis, and failure-state handling that standard software doesn't need. We plan for this, not around it.
Every engagement ends with a documented repo. The next developer, whether in-house or another agency, can pick up the codebase without a briefing from us.
Everything built in the engagement is yours. Repository, documentation, credentials. No dependency on us to keep it running, extend it, or move it to another team. The engagement ends cleanly.
TECH STACK TICKER "WE BUILD WITH THE BEST TOOLS AND BEYOND THEM"
| Criteria | Dedicated AI developer (Multidivs) | Full-time hire | Freelancer |
|---|---|---|---|
| Time to start | Fast | Slow | Varies |
| AI development experience | Production-tested | Depends | Varies |
| Commitment | Flexible | Permanent | Short-term |
| Cost structure | Predictable | Salary + overhead | Hourly / project |
| Support | Team behind them | Internal | Solo |
| Accountability | Contractual | Employment | Limited |
~40–70%
India-based AI developers deliver comparable output at 40 to 70% of US or European rates at equivalent skill levels.
// KoreBPO, Aalpha, 2026~1week
Faster than a hiring cycle. No employment overhead, no notice period. The developer is on the project when the engagement is confirmed.
0
When the engagement ends you have the repository, the documentation, and full access. No proprietary tool or ongoing retainer requirement.
The code is yours. Not a retainer lock-in. Not a proprietary tool that only we can maintain. When the engagement ends, you have the repository, the documentation, and full access.
Hiring before the brief is written. Developers build what they understand the requirement to be. If the brief is vague, the output matches.
Choosing a developer by stack alone. A Python developer who has never built a production RAG system is not an AI developer. Ask for specific, comparable prior work.
No staging or review process. Code pushed directly to production without review or testing creates expensive incidents.
Treating AI outputs as deterministic. AI components need accuracy testing, latency budgets, and failure-state handling that standard software doesn't.
No handover documentation. An engagement that ends without documented code leaves the next developer rebuilding from scratch.
AI feature development, model integration, RAG systems, intelligent search, document processing, AI chatbots and agents, and the backend and frontend work that supports those features.
Yes. They follow your processes, use your tools, and work within your existing codebase.
We offer both. Project-based engagements have a defined scope and timeline. Ongoing arrangements are structured around your delivery needs.
Python, Node.js, React, PostgreSQL, MongoDB, Supabase, MySQL, AI model API integrations, RAG systems, and vector databases.
Yes. They use Claude Code, GitHub Copilot, Lovable, Replit, Google Antigravity, and Perplexity to work more effectively. The code they produce is reviewed, understood, and maintained by engineers.
Raise it with us. We're a team, not just a marketplace, so there's accountability and someone to contact when something isn't working.
Yes. For larger projects, we can provide two or three developers working together.
Tell us what you need built and how long for. We'll come back with a direct response on availability and fit.
We'll respond with a direct answer on availability, fit, and next steps.
+91 9898 927 052 · contact@multidivs.com