Recruitment & HR Tech
API Design & Integration for Recruitment & HR Tech
API Design & Integration for recruitment & hr tech, built around the constraint that defines the sector: any screening automation must be tested for bias and be explainable to a rejected candidate.
- Regulations in scope
- 4
- Systems we integrate
- 4
- Typical first release
- 6 weeks
What changes when it is recruitment & hr tech
We write the specification before the implementation, because the consumers' experience is the product and it deserves to be designed rather than discovered.
In recruitment & hr tech, any screening automation must be tested for bias and be explainable to a rejected candidate. That single fact reshapes how api design & integration has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is interview scheduling, usually integrated against ATS. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.
The sector constraints we design around
- Defining constraint
- any screening automation must be tested for bias and be explainable to a rejected candidate
- Regulations in scope
- labour laws · DPDP Act 2023 · equal opportunity obligations · EU AI Act high-risk classification for hiring
- Systems of record
- ATS · HRMS · assessment platforms · background verification services
- Where we usually start
- CV parsing and structured screening
API Design & Integration workloads in recruitment & hr tech
- CV parsing and structured screening
- interview scheduling
- candidate communication
- job description drafting
- interview note summarisation
What is included
- OpenAPI specification written before the implementation
- Versioning strategy that does not break consumers
- Authentication, scopes and rate limiting
- Webhooks with retries and signature verification
- Idempotency on every state-changing endpoint
- Generated documentation and a sandbox
Questions from this sector
Is AI screening legal?
In India, with care; under the EU AI Act hiring is classified high-risk with specific obligations. Either way, bias testing, explainability and human review of rejections are the baseline we build to.
How do you prevent bias?
Testing outcomes across demographic groups, excluding proxy features, and keeping a human decision on every rejection. We report the test results rather than asserting fairness.
REST or GraphQL?
REST for partner-facing and public APIs where caching and simplicity matter; GraphQL where a first-party client needs flexible, varied queries. Most systems end up with both, used deliberately.
Do you document it?
Generated from the OpenAPI specification, with a working sandbox. Documentation written by hand and separately always drifts.
Can you integrate with legacy SOAP systems?
Yes, usually by wrapping them in a clean modern interface rather than exposing the legacy contract onward.
Other capabilities for recruitment & hr tech
- AI Agent Development for Recruitment & HR Tech
- Agentic Workflow Automation for Recruitment & HR Tech
- LLM Application Development for Recruitment & HR Tech
- RAG & Knowledge Retrieval for Recruitment & HR Tech
- Chatbot Development for Recruitment & HR Tech
- AI Copilot Development for Recruitment & HR Tech
- Data Engineering for Recruitment & HR Tech
- Enterprise AI Platform for Recruitment & HR Tech
- Workflow & Integration Automation for Recruitment & HR Tech
- AI Readiness Assessment for Recruitment & HR Tech
API Design & Integration for recruitment & hr tech, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878
