Hire AI engineers who take LLM features from prototype to production.
Our AI engineers add language-model features to real products: search and question answering over your own data, document processing, assistants and agent workflows. They focus on the unglamorous parts that decide whether a feature survives production: evaluation, cost control, prompt-injection defences and monitoring.
- Profiles in 48 hours
- NDA and full IP assignment
- Replacement guarantee
- Full-time, part-time or hourly
What our ai engineers work on
- Retrieval-augmented generation over your documents and databases, including chunking, embedding and ranking choices
- Agent and tool-calling workflows with clear limits, approvals and audit trails
- Evaluation sets and automated tests so model or prompt changes can be measured
- Security controls such as input filtering, output validation and least-privilege tool access
- Cost, latency and usage monitoring across model providers
When it makes sense to hire
- You have an AI prototype that works in demos but not yet for real users
- You want search or Q&A over internal documents without sending data where it should not go
- You are unsure whether retrieval or fine-tuning fits your problem
- You need someone to put guardrails, tests and monitoring around an existing AI feature
Skills and tools
How to hire ai engineers with RZoraTech
- 1
Share requirements
Tell us the role, stack, seniority and start date. A short call or the form below is enough.
- 2
Receive matched profiles
Within 48 hours we send pre-screened candidates whose experience fits your stack.
- 3
Interview and choose
Run your own technical and culture interviews. Nobody starts without your approval.
- 4
Onboard and ship
Most engineers are working in your repository and chat within three to five business days.
Every engineer completes technical screening, a live architecture session and an English communication check before they are presented. A dedicated project manager keeps delivery on track, and you keep ownership of all code and IP. See the Web App Development service for project-based work, or read about our full talent options.
Free Consultation
Tell us what you need. Get a reply within one business day.
Share a few details and we will send matched engineer profiles or a scoped estimate. No obligation, and every conversation is covered by an NDA on request.
- Reply within one business day
- NDA signed before you share details
- Talk directly with a senior engineer, not a salesperson
Prefer to share a detailed brief? Use the full project form or browse roles you can hire.
Common Questions
Clear answers before we write a line of code.
Everything you need to know about working with RZoraTech as your extended engineering partner.
Read before you hire
- AI Agents for Business Workflows: A Production Readiness Checklist
Plan reliable AI agents with permission boundaries, human approvals, evaluations, and monitoring before connecting them to real business workflows.
- RAG vs Fine-Tuning: Choosing the Right Approach for Business AI
Compare retrieval-augmented generation and fine-tuning for business AI, including knowledge freshness, permissions, evaluation, and implementation trade-offs.
- Prompt Injection: How to Protect AI Apps Before Launch
Learn how prompt injection reaches AI apps through documents and tool results, and build practical permission, validation, and monitoring controls.