AI-native Teams · Profiles
Backend, full-stack, data, AI and technical leadership: nine backgrounds to help you find the skills that will move your product forward.
9 profiles · 7 on assignment · 2 available
8 years of experience
On assignmentProject
Document assistant with sourced answers, team-level permissions and response evaluation.
Turn business documents into a reliable, operable service.
9 years of experience
On assignmentProject
Case-processing workflow combining AI agents, human review and recovery from failures.
Keep complex processes manageable as integrations grow.
7 years of experience
On assignmentProject
Workspace integrating assisted search, AI suggestions and user approval.
Connect user needs, interfaces and backend services.
6 years of experience
On assignmentProject
Conversational search interface connected to a catalog and its business rules.
Turn a product need into a usable feature, end to end.
10 years of experience
On assignmentProject
Model deployment pipeline with reproducible environments, version tracking and monitoring.
Prepare models and services for day-to-day operation.
8 years of experience
On assignmentProject
Business data pipelines with quality checks and lineage, ready to support AI applications.
Give teams a trustworthy, understandable data foundation.
11 years of experience
On assignmentProject
Architecture for an AI service integrated into an existing system, with evaluation criteria and a team handover.
Guide technical decisions and the team through to production.
7 years of experience
AvailableProject
Retrieval-augmented API over a document collection, with retrieval comparisons and quality tests.
Bridge AI experimentation and production API requirements.
6 years of experience
AvailableProject
AI-assisted creation flow for reviewing, comparing and approving suggestions before use.
Make AI features understandable and useful in everyday work.
For your project
For your engagement, we clarify the role, relevant skills, shareable work and areas to explore further. You meet the proposed engineers to confirm the fit with your team.
AI-native Teams · Getting started
Choose and approve your team in one week. The next two weeks prepare its integration into your project. From three weeks in total, the team is ready to work and produce its first pull requests.
Week 1
From your brief, we define the roles and propose engineers. You meet them and approve the team composition and working arrangement.
Weeks 2 and 3
Repository access, development environment, tools and product context: we prepare the work and initial priorities with your team.
At the end of 3 weeks
Engineers work in your codebase and submit their first changes for review, following your priorities and practices.
Three weeks in total from a complete brief: one week for selection and approval, followed by two weeks of preparation. Timeline confirmed based on engineer availability, interview slots and access preparation.
Share your product, stack and priorities. We help you define the roles and the working arrangement.