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  3. /Embedded AI & Data Engineering Teams

Services

Embedded AI & Data Engineering Teams

Senior AI and data engineering capability, embedded in your team, without the months-long build-up.

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The business challenge

Building senior AI and data engineering capability in-house is one of the hardest problems in technology right now.

  • AI and data engineering roles sit open for months in a competitive, specialized market.
  • Internal teams lack hands-on production experience with GenAI and modern ML systems.
  • Standing up a full-time team for a fixed-duration initiative doesn't match the pace of AI work.
  • Existing engineering teams need targeted engineering capability, not a wholesale headcount increase.

How Xunova helps

Xunova embeds highly skilled AI Engineers, Data Scientists, Machine Learning Engineers, Data Engineers, and GenAI Specialists directly into client engineering organizations to accelerate AI initiatives. Every engineer is vetted for technical depth and the ability to contribute inside an existing delivery team from week one.

Rigorous vetting

Every engineer is assessed for production experience, not just credentials or interview performance.

Precise matching

We match engineers to your specific stack, domain, and team dynamics, not a generic skill category.

Direct accountability

You work directly with the embedded team and Xunova, with no account-management layer diluting communication.

Capabilities & expertise

  • Embedded AI Engineers, ML Engineers, and GenAI Specialists matched to your stack
  • Data Scientists and Data Engineers who integrate directly into existing delivery workflows
  • Flexible engagement models, from a single embedded engineer to a full delivery team
  • Direct access to senior engineering capability, not layers of account management

Technologies we use

PythonPyTorch & TensorFlowLangChainOpenAI & Anthropic APIsSQL & SparkAWS, Azure & GCPMLflow & Weights & Biases

Engagement model

A consistent, transparent process from first conversation to ongoing delivery.

  1. 01

    Scope

    We understand the role, skill profile, and team context you need filled.

  2. 02

    Match

    We identify engineers whose experience matches your specific stack and problem space.

  3. 03

    Embed

    Engineers integrate directly into your team and existing delivery workflows from week one.

  4. 04

    Scale

    Extend, adjust, or grow the embedded team as your initiative evolves.

Business outcomes

  • Fill critical AI and data engineering roles in weeks, not months
  • Reduce delivery risk with engineers vetted for production experience, not just credentials
  • Scale embedded engineering capacity up or down as initiatives evolve
  • Retain full control of your roadmap and architecture decisions

Frequently asked questions

How is this different from a staffing agency?+

Xunova is an AI engineering and consulting partner, not a staffing agency or recruitment service. We vet for depth, not keyword matches — every engineer we embed has hands-on production experience with the specific technologies your initiative needs, and we stay accountable for the fit throughout the engagement.

Can we start with a single engineer?+

Yes. Engagements range from a single embedded engineer to a full delivery team, and can scale in either direction as your needs change.

How quickly can an engineer start?+

Timelines depend on the role's specificity, but most engagements move from scoping call to a matched engineer within a few weeks.

Do engineers work on-site or remote?+

Remote-first, with engineers distributed across our global delivery locations across North America, Asia, and the Middle East. On-site arrangements can be discussed for specific engagements.

Ready to talk about Embedded AI & Data Engineering Teams?

Tell us about your challenge and we'll help you figure out the right starting point, no obligation.

Schedule a Discovery CallView all services