Scope the challenge
Discuss your system, roadmap, team and technical outcomes.
SPECIALIZED AI ENGINEERING TALENT
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.
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.
Recruit for the real work in your architecture—not a list of fashionable framework names.
View all AI engineering roles ↗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 ↗Engineers collaborate in your development tools, rituals, delivery priorities and codebases.
Technical depth, system design and real-world ownership shape each role-specific evaluation.
Go beyond individual tasks by defining responsibilities, knowledge transfer and continuity early.
Pipeline resilience, data quality, model context and architecture that holds up under real usage.
Tool permissions, state management, bounded actions, retries and human decision points.
Evaluations, observability, incident response, performance and secure rollout strategies.
Start with your engineering challenge. The right job title and hiring requirements follow.
Explore engagement options ↗Discuss your system, roadmap, team and technical outcomes.
Align on seniority, skills, collaboration and technical evaluation.
Evaluate relevant engineering depth and practical compatibility.
Agree onboarding, ownership, security and working expectations.
Practical ideas to help engineering leaders make better decisions about hiring AI talent and shipping AI products.
Read our insights ↗Answers about how our embedded model works and what prospective partners can expect.
All frequently asked questions ↗An embedded AI engineer works inside your existing engineering workflow and helps deliver AI-related projects using your technical priorities, tools and standards.
Your engineering organization sets product direction, prioritizes tasks and oversees delivery. Specific responsibilities and employment arrangements are agreed during engagement scoping.
Axie focuses on Forward Deployed Engineers, Data Engineers, Applied AI Engineers and Agentic AI Engineers, with scope defined around the production systems you need.
Candidate evaluation and selection expectations can be defined with your team, including relevant technical assessments and interviews.
Building your preferred supplier network? We can discuss Axie’s company information, commercial requirements and onboarding documentation.
Supplier information ↗Tell us what you are building, where your team needs specialist capacity, and what success should look like.