Agentic AI Developer
Builds systems where a model plans, calls tools and acts across steps, rather than answering one prompt at a time.
AI talent
The industry answered AI by buying AI tools for itself. We built a practice that places the people.
Yallo internal delivery, shortlist and placement records and programme register, as at 30 July 2026.
The gap
The market is short of people, and the shortlist is short of evidence. Both have to be solved, and only one of them is a sourcing problem.
of employers cannot find the skills they need, and AI has overtaken engineering and traditional IT as the hardest category of all.
A practice, not a keyword
The industry bought AI tools; we built the desk that places people
AI talent is a named specialism here with its own screening, not a skill listed among professions. That is the difference between a CV that mentions a model and a contractor who has shipped one.
72%Employers short of skills
Screened on evidence
Read by someone who has shipped an agent
Screening looks for evaluation discipline, retrieval design and cost control: the things that decide whether an AI build survives contact with production.
2:1CVs per interview
On your existing stack
Placed onto the platforms you already run
Azure AI, Databricks and the enterprise platforms around them. Yallo Talent staffs work on the systems you own; building new AI-native systems is saasinator's line, not this one.
In region, at pace
Four entities, three demand markets
London, Dubai, Riyadh and Bengaluru, so a specialist can start on your paper or ours without an entity of your own.
72hBrief to shortlist
Yallo internal delivery, shortlist and placement records and programme register, as at 30 July 2026.
Role families
Every family carries its own screening tests and its own failure mode. They are not variations on one job.
Builds systems where a model plans, calls tools and acts across steps, rather than answering one prompt at a time.
Designs, tests and maintains the prompt and context layer, and holds output quality over time.
Builds and owns the retrieval layer: the corpus, the chunking, the index and the pipeline that keeps all three current.
Owns the target architecture: which model, hosted where, grounded on what, governed how, and integrated into which enterprise estate.
Makes AI systems deployable, observable and reversible: pipelines, evaluation in CI, monitoring and cost control.
Builds the test sets and judging methods that say whether the system is good enough to ship, and keeps saying so after each change.
Owns policy, risk classification, documentation and audit for AI in production, against the regulation that applies.
Owns the problem, the adoption and the measurement of value for an AI capability inside a business process.
Designs the interaction for systems that are uncertain: how confidence, correction, hand-off and refusal are shown to a user.
Owns the enterprise AI portfolio: sequencing, funding, governance, delivery and the operating model around it.
How we screen
In the estate
Almost none of this is greenfield. The model layer meets an ERP, a CRM or a data estate, and the people who can hold both are the constraint. Five layers, two concerns that cross all of them, the tools at each and the role families we place there. These are the tools we screen against. Naming one says we can test for it, not that we have delivered on it.
Spans every layer. Without it a system is shipped on impressions.
Also screened against
Copilots and agents inside a business process, and the interaction design that makes an uncertain system usable.
Where an agent's steps, tools and state are defined, and where its failures are caught before a user meets them.
Also screened against
The models themselves, and the platforms an enterprise hosts them through.
Also screened against
What the model is grounded in, and the integration work that gets enterprise data to where it can reach it.
Also screened against
The seven platform desks Yallo staffs. Almost no AI work is greenfield; it lands here.
Spans every layer. Named as what governance roles are screened against; what any of them obliges is your counsel's call.
No CVs until we understand your programme. Specialist-screened shortlist matched to your context.
Screened by