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Staff Augmentation

Vetted engineers who join your team.

IT staff augmentation services from India, built on a bench of 100+ tech talents, including 40+ AI/ML engineers. Tell us who you need and get vetted profiles within 24 hours.

What we do

Staff Augmentation services

Vetted developers and AI/ML engineers who join your team, your tools and your hours, on contract, dedicated or contract-to-hire terms.

  • AI/ML engineers

    Engineers who build and ship models, LLM features and agents, already working across multiple client engagements.

  • Data engineers

    Pipelines, warehouses and ETL on Databricks, Snowflake and the major clouds. One of the roles we place most.

  • Full-stack and frontend

    React, Next.js and Node.js developers who can own features end to end.

  • Backend and enterprise

    Python, Java and Spring Boot engineers for APIs, services and integrations.

  • DevOps and cloud

    Engineers who build and run CI/CD, infrastructure as code and monitoring.

  • Dedicated teams

    A small, stable team with a lead, working as an extension of your engineering organisation.

Engagement models

Three ways to add engineers

Engineers are billed monthly per engineer, by seniority. Ask for a quote for your exact requirement.

  • Contract

    An engineer for a defined period or piece of work. Good for a sprint of extra capacity or a specialist skill.

  • Dedicated developer or team

    Full-time engineers working only on your product, as part of your team, for as long as you need them.

  • Contract-to-hire

    Start on contract, then bring the engineer onto your own team once you know it is the right fit.

How we vet

2–3 technical rounds tailored to your requirement, then you interview and approve.

  1. 01

    Requirement

    We agree the role, skills, seniority and hours with you.

  2. 02

    Technical rounds

    2–3 rounds tailored to your requirement: skills, problem-solving and communication.

  3. 03

    Your interview

    You meet the shortlist and approve who joins.

  • Profiles within 24 hours

    Vetted profiles shared within 24 hours of your requirement.

  • Trial period

    Start with a trial period to make sure the fit is right.

  • Replacement guarantee

    If an engineer is not the right fit, we replace them.

  • Your hours

    Engineers work your hours, wherever you are.

Compare

Staff augmentation vs hiring vs freelancers

Staff augmentation compared with in-house hiring and freelancers
QuestionXpance staff augmentationHiring in-houseFreelancers
Time to first profilesWithin 24 hoursWeeks to monthsDays, unvetted
Vetting2–3 technical rounds + your interviewYour own processUp to you
Scale up or downMonthlySlow and costlyPer contract
Replacement if it does not work outGuaranteedStart againStart again
IP and NDAAssigned to you, NDA firstYoursNeeds care

When not to choose us: If you need someone for a few hours of work, a freelancer may suit you better. If the role is a long-term leadership position, hire in-house, and consider contract-to-hire with us as the route there.

How AI makes it better

Engineers fluent in AI tools

Our engineers use AI tools in their daily work, under a written policy. They follow your rules on which tools are allowed.

  • Faster onboarding

    AI-assisted code reading helps engineers get productive in an unfamiliar codebase sooner.

  • Human review, always

    Nothing AI-generated merges without an engineer reviewing it.

  • No training on your code

    AI tools only on business terms with training switched off, or none at all if you prefer.

  • Least-privilege access

    Engineers work in your accounts and repositories, and access is removed when the engagement ends.

Tech stack

Tools we work with

AI and data
PythonPyTorchLangChainDatabricksSnowflakeSpark
Web
ReactNext.jsNode.jsTypeScript
Backend
JavaSpring BootPythonDjangoFastAPI
Cloud
AWSAzureGoogle CloudKubernetesTerraform

Use cases

What this looks like in practice

  • Scaling a data platform team

    Problem
    A product company needed data engineers faster than it could hire locally.
    What we did
    Vetted data engineers who joined the existing team, tools and stand-ups.
    Outcome
    The platform roadmap moved forward without a long hiring cycle.
  • Adding AI capability

    Problem
    An engineering team wanted to ship LLM features but had no AI experience in-house.
    What we did
    An AI/ML engineer embedded in the team to build the first features and share the know-how.
    Outcome
    AI features in production, and a team that can maintain them.
  • Cover across time zones

    Problem
    A business needed engineering cover that matched its local working day.
    What we did
    Engineers scheduled to the client’s own hours, working as part of the in-house team.
    Outcome
    Real-time collaboration, with no overnight hand-offs.

Process

How an engagement runs

  1. 01

    Share your need

    Tell us the role, skills, seniority and hours you need.

  2. 02

    Get profiles

    Vetted profiles within 24 hours, each checked in 2–3 technical rounds tailored to your requirement.

  3. 03

    Interview and approve

    You interview the shortlist and choose who joins.

  4. 04

    Onboard and scale

    Your engineer joins your tools and team, and you scale up or down as needs change.

Clients

We needed two senior React engineers who could work UK hours. Xpance had vetted profiles to us within 24 hours, and both were shipping to production by their second sprint.

VP Engineering · Healthtech · London

Hire engineers

Tell us who you need

Vetted profiles within 24 hours. We reply within one business day.

We use your details only to reply. See our privacy policy.

FAQ

Staff Augmentation: common questions

  • With staff augmentation, our engineers join your team and work under your direction, in your tools and processes. With managed services or a project, we take responsibility for delivering an agreed outcome. We offer both.

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Tell us what you need.

We reply within one business day. Vetted profiles within 24 hours.