One Integration Engineer, assigned to your product and fully managed.

We assign an Integration Engineer to your team full time and run everything around them: a service delivery manager who answers for the work, training and coaching, the office and equipment, and HR and payroll. The price below is for a mid-level Integration Engineer; junior and senior levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.

From price

One mid-level Integration Engineer, full time, everything below included. All 27 things included ››

  • Integration engineer From USD 3,700 per month
  • Service

    We manage and develop the team

    • A service delivery manager who runs the team and answers for delivery
    • A 1:1 with our Head of Delivery every two weeks
    • Weekly delivery scoring and monthly capacity reports
    • A Talent Success Manager for every specialist
  • HR

    We are the employer

    • Recruitment and technical assessment
    • Employment contracts
    • Salary and payroll
    • Tax and social security
  • Facilitation

    We provide the workplace

    • A desk in our own office in Chiang Mai or Bangkok
    • A Workplace Experience Manager on site
    • Team events through the year
    • IT support
  • Equipment

    We supply the tools

    • Laptop and hardware
    • Software licences
    • LinkedIn Learning access
    • Device security and management

What an Integration Engineer does on a dedicated AI automation team.

They work with the owners of each connected system, inside and outside your company, and agree contracts, monitoring and alerting with both sides.

Integration Engineer skills and technologies

  • Building and maintaining API integrations between internal and third-party systems.

  • Designing for failure with retries, idempotency and dead letter handling.

  • Data mapping and reconciliation between systems that model the same thing differently.

  • Building the monitoring that shows an integration has stopped working before a user reports it.

  • Versioning integration contracts so a change on one side does not break the other without warning.

Integration Engineer seniority levels.

Mid-level to senior. Strong error handling is what makes an integration dependable. Seniority is one of the inputs into how the monthly fee is built.

When your team needs an Integration Engineer.

Common after an acquisition or a new platform leaves two systems needing to stay in sync. Often paired with an AI automation engineer. Integration engineers join as part of AI automation engineering at Azendo. Integration engineers join companies that hire a dedicated development team whose product depends on systems it does not control.

What we look for in a dedicated Integration Engineer.

We look for integration engineers who design for failure: retries, idempotency and dead letter queues. They should map data between systems that model it differently, and monitor integrations before users notice a problem.

A remote Integration Engineer's first three months on your team.

  1. Weeks 1 to 2Mapping your integrations, their failure history and the data they move.
  2. Weeks 3 to 6Fixing the most fragile connections and adding monitoring.
  3. Months 2 to 3Owning the integration layer, including versioned contracts for each connection.
From USD 3,700
Per month for a mid-level integration engineer, fully managed
160 h
Typical monthly capacity for this role
Fixed
The same fee every month
4 to 6 weeks
From signing to our specialist starting
Monthly
Add or reduce hours at each cycle

Questions about adding an Integration Engineer to your team.

How do you handle a third-party API going down?

With retries and backoff, idempotency so retries are safe, queues that hold messages while the API is down, and dead-letter handling so nothing is lost. Monitoring alerts your team when a connection degrades, and the engineer documents each integration so the next person can support it quickly.

Can you connect two systems that model data differently?

Yes. Your team and ours agree the mapping between the two data models, because the reconciliation rules are business decisions. The engineer then builds and tests the mapping, handles edge cases explicitly and reports records that don't fit, so mismatches surface early instead of corrupting data downstream.

Tell us what your integration engineer would work on.

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