How quickly can we get a shortlist?

We move quickly, but the goal is not speed alone — it's sending a shortlist that is actually relevant, technically credible, and ready to interview.

What kinds of roles can you fill?

LLM, ML, MLOps, and GenAI specialists — across discovery, build, and operate phases. Senior engineers and team leads, not bootcamp grads.

How is this different from a typical recruiting firm?

We screen on production-relevant work, not keyword matching. Every candidate has shipped systems we can speak to in detail.

Do you support contract, fractional, and full-time paths?

Yes — contract, fractional, and full-time placements all supported. We help structure the engagement around the way the work actually needs to happen.

What if we need more than staffing?

We also lead end-to-end AI delivery via the AI Project Delivery service. Talent + delivery can be combined in a single engagement.

AI Talent & Staffing

Embedded senior AI talent on demand.

Add LLM, ML, and MLOps specialists directly into your team. Pre-vetted for production work, not workshop demos.

Explore AI Talent

Built for teams shipping real AI products

01

Fast shortlist

02

Senior talent

03

Role-specific vetting

04

Flexible engagement models

Staffing Proof

Proof these hires actually ship.

The goal is not more résumés. It is the right senior engineer joining quickly, integrating cleanly, and moving real work forward.

Generative AIML Engineering

Urgent GenAI integration for a creative AI platform

A leading generative AI platform needed a senior ML / GenAI engineer to integrate ACE++ and UNO into an existing production system. Eventum placed a specialist who stepped into the architecture, shipped both capabilities, and improved platform flexibility without disrupting the existing stack.

Specialized GenAI / ML engineer placed quickly
ACE++ and UNO integrated into a live production platform
Platform flexibility and controllability improved through modular implementation

Read case study

AI SystemsAI Talent

Two senior engineers across backend, data & DevOps — 100% hire success

A fast-growing AI systems consultancy needed to scale capacity without lowering the bar. Eventum placed two autonomous engineers spanning backend, data pipelines, and DevOps — with the communication and timezone overlap to deliver client-facing work.

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AI TalentML Infrastructure

A boutique consultancy's two senior ML/data hires — closed fast

A boutique AI consultancy needed to expand delivery capacity fast, ahead of incoming client work. Eventum sent a focused shortlist and closed two senior ML/data engineers — Python, Kubernetes, and data engineering — three weeks from brief to hire.

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Hire by Role

Find the exact AI specialist your project needs.

We match the role to the work: LLM, ML, MLOps, data, and computer vision specialists selected for the systems you actually need to ship.

LLM Engineer

RAG, fine-tuning, prompt pipelines, eval harnesses, tool use, agent behavior

ML Engineer

Model training, inference systems, experimentation, feature engineering, deployment

MLOps Engineer

CI/CD for ML, Kubernetes, model monitoring, evaluation pipelines, cost optimization

Computer Vision Engineer

Image/video GenAI, detection, segmentation, classification, multimodal workflows, inference optimization

Data Engineer

Data pipelines, ETL, retrieval infrastructure, warehousing, orchestration, feature support

AI Application Engineer

Full-stack AI products, agent workflows, LLM integrations, tool use, production app delivery

How we screen AI engineers.

Talk to someone senior. We'll ask the right questions and tell you what the fastest path looks like.

Book a Discovery Call

How engagements work

001

Application review & portfolio screening

We review for production evidence — shipped systems, model work, deployment environments, architecture decisions, and relevant technical depth. We filter for real output, not just credentials.

002

Role-specific technical challenge

Each candidate is vetted for their best-fit role. LLM engineers may be assessed on model choice, tuning, safety, scaling, RAG, or multi-agent design. MLOps engineers may troubleshoot deployment and monitoring failures. CV specialists may work through model optimization and benchmark-oriented tasks.

003

Live technical interview

A senior Eventum engineer runs a practical interview focused on system design, debugging, tradeoffs, communication, and production thinking.

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Reference check & network onboarding

We verify contributions, check for team fit, and use post-placement feedback to continuously improve signal quality.

When to Bring Us In

Accelerate the work with senior execution capacity.

Embed AI engineers, fractional specialists, or focused pods around the work that needs to move. Without waiting months to hire.

Embedded engineer

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A senior Eventum engineer works directly inside your team — your sprint, your Slack, your standups. They contribute as if they were full-time, without the long hiring cycle.

Part-time specialist

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Ideal for high-seniority, lower-hours needs: architecture review, model evaluation, infra decisions, debugging, or technical guidance alongside your internal team.

Try before you hire

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Start as a contract engagement with the option to convert to a full-time employee once the fit is proven through real work.

Build a focused AI pod

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When one engineer isn't enough, we can help assemble a small embedded team — for example, an LLM engineer plus MLOps support, or an ML engineer plus a data engineer.