AI Powered Recruitment Automation
Advanced Middleware for Intelligent Recruitment
Middleware connects a Salesforce ATS with Azure OpenAI and a vector database to automate candidate sourcing and proposal drafting.
It scores vacancies against large candidate pools using semantic similarity plus business rules—skills, experience, availability, geography, compensation, and history.
FastAPI coordinates Salesforce webhooks, embedding pipelines, Pinecone retrieval, and templated proposal generation for high-fit candidates.
Clients
Recruitment technology partnerProject Type
AI middleware & matching engineDate
2024Website
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Architecture
API gateway handles routing, validation, and auth; services include MatchingService, OpenAIService, VectorDBService, and DocumentProcessor for heterogeneous résumé formats.
Pinecone stores embeddings for résumés and job descriptions; SQLite persists operational state and assistant instructions. Fully async workflows target high concurrency.
- Semantic job-to-candidate matching with multi-criteria ranking
- Dynamic proposal text aligned to each requisition
- Lightweight monitoring dashboard for prompts and operations
- Dockerized services suitable for cloud deployment
Stack snapshot
Python, FastAPI, Uvicorn; Azure OpenAI (gpt-4.1, text-embedding-3-small); Pinecone; Pydantic; NLTK & scikit-learn; SQLAlchemy + SQLite; Jinja2/HTML dashboard; Docker and Git-based delivery.
Recruiter leverage
Cuts manual matching time while improving consistency of outreach.Explainable pipeline
Composable services make it easier to tune prompts and retrieval.
