EMBEDDED AI ENGINEERING SPECIALISTSSupplier & enterprise inquiries

SPECIALIZED AI ENGINEERING TALENT

Build what's next.
With engineers
who can deliver.

Embedded Forward Deployed, Data, Applied AI and Agentic AI Engineers for ambitious product and engineering teams. Your roadmap. Your team. The technical depth to move forward.

BUILT FOR PRODUCTION, NOT JUST PROTOTYPES
01 / WHAT WE DO

AI ambition is common.
Engineering execution isn't.

Production AI needs more than model access. It needs systems thinkers who understand data, integrations, security, orchestration and the tradeoffs of operating software at scale. We focus on finding the specialists who can do that work alongside your existing team.

03 / THE AXIE MODEL

They work with you.
Not around you.

Our embedded staffing approach is designed for teams that want clear engineering ownership. You lead the technical direction. We help you identify and engage the talent required to execute it.

How our model works ↗
01

Integrated into your workflows

Engineers collaborate in your development tools, rituals, delivery priorities and codebases.

02

Evaluated for the actual problem

Technical depth, system design and real-world ownership shape each role-specific evaluation.

03

Built around lasting capability

Go beyond individual tasks by defining responsibilities, knowledge transfer and continuity early.

04 / ENGINEERING DEPTH

Beyond the demo.
Ready for the real world.

01 / DATA

Reliable foundations.

Pipeline resilience, data quality, model context and architecture that holds up under real usage.

02 / SYSTEMS

Responsible autonomy.

Tool permissions, state management, bounded actions, retries and human decision points.

03 / DELIVERY

Operational confidence.

Evaluations, observability, incident response, performance and secure rollout strategies.

Explore our technical assessment approach ↗
05 / GETTING STARTED

A straightforward path
to the right engineer.

Start with your engineering challenge. The right job title and hiring requirements follow.

Explore engagement options ↗
01

Scope the challenge

Discuss your system, roadmap, team and technical outcomes.

02

Define the profile

Align on seniority, skills, collaboration and technical evaluation.

03

Assess the fit

Evaluate relevant engineering depth and practical compatibility.

04

Embed & deliver

Agree onboarding, ownership, security and working expectations.

07 / COMMON QUESTIONS

Clarity before
the first call.

Answers about how our embedded model works and what prospective partners can expect.

All frequently asked questions ↗
What is an embedded AI engineer?+

An embedded AI engineer works inside your existing engineering workflow and helps deliver AI-related projects using your technical priorities, tools and standards.

Who manages the engineer's technical work?+

Your engineering organization sets product direction, prioritizes tasks and oversees delivery. Specific responsibilities and employment arrangements are agreed during engagement scoping.

Which roles can Axie help us hire?+

Axie focuses on Forward Deployed Engineers, Data Engineers, Applied AI Engineers and Agentic AI Engineers, with scope defined around the production systems you need.

Can we review engineering candidates before engagement?+

Candidate evaluation and selection expectations can be defined with your team, including relevant technical assessments and interviews.

ENTERPRISE PROCUREMENT & SUPPLIER ONBOARDING

Building your preferred supplier network? We can discuss Axie’s company information, commercial requirements and onboarding documentation.

Supplier information ↗
LET'S TALK ENGINEERING

Build the team
your roadmap needs.

Tell us what you are building, where your team needs specialist capacity, and what success should look like.

Start a conversation ↗DIRECT, PRACTICAL, ENGINEER-TO-ENGINEER.