Knowledge assistants
Design retrieval and generation workflows grounded in approved information.
Extend your team with iTechOps
Hire Generative AI Engineers
Develop generative AI features with engineers who connect models, retrieval, and application controls.
Practical engineering ownership
What your generative ai engineers can work on
Align responsibilities to your architecture and roadmap. The final scope is agreed with your team before work begins.
Document workflows
Evaluate answer quality, source coverage, latency, and cost for representative tasks.
AI application integration
Implement access controls, tool permissions, and handling for uncertain outputs.
Choose for the work ahead
Assess technical fit in your context
Test retrieval quality and permission boundaries using misleading prompts and incomplete source material.
Bring a representative problem, your stack, and the boundaries of the role to the technical discussion. Agree how design decisions, reviews, testing, and production handover will be handled.
From requirements to delivery
A clear way to extend your team
Choose an individual specialist or discuss a team around your delivery needs.
- 01
Define the role
Share your architecture, priorities, seniority needs, duration, and working-hour overlap.
- 02
Align on the fit
Review the proposed skills and arrange technical discussions against your actual project needs.
- 03
Agree the engagement
Confirm scope, availability, commercials, ownership, and communication expectations in writing.
- 04
Onboard and review
Set up access, development workflows, and a first delivery plan. Review progress with your team.
Frequently Asked Questions
Find answers about iTechOps services, ways of working, and how to discuss your requirements with our team.
What can iTechOps generative ai engineers help with?
Develop generative AI features with engineers who connect models, retrieval, and application controls. Typical work includes knowledge assistants, document workflows, ai application integration. We agree responsibilities, deliverables, and technical ownership before onboarding.
How should we evaluate generative ai engineers?
Test retrieval quality and permission boundaries using misleading prompts and incomplete source material. Share your stack, existing architecture, and interview expectations so the assessment reflects the work your team needs.
Can engineers work with our existing team?
Yes. Staff augmentation is designed to extend your team. Agree reporting lines, working-hour overlap, code review practices, access permissions, and sprint responsibilities before the engagement starts.
How are pricing and availability confirmed?
Request a proposal with the role, experience requirements, expected duration, and working-hour needs. iTechOps confirms availability, commercial terms, onboarding, and any support commitments in the written proposal.
Explore related engineering roles
Bring generative ai engineers into your next milestone.
Tell us about your stack, skills, and timeline. We will discuss a practical engagement plan.
Explore with AI
Want to Learn More? Ask AI About iTechOps
Explore our engineering expertise and ways to work together. Choose your preferred AI assistant to start with a question about iTechOps and our core services.
AI responses can vary. Confirm service details and availability with our team.
Talk to iTechOps