01 · Overview
Product context and engineering scope.
The goals, operating context, and technical decisions behind this case study.
AI Job Market Scout helps recruiters understand the external hiring landscape for a selected job before beginning candidate sourcing.
Built for GiFTEM — Shuvel Digitech
01
The feature researches current publicly available market information and converts it into a structured, recruiter-friendly intelligence report.
02
Recruiters can explore market demand, talent availability, skill trends, compensation insights, and hiring activity through visual summaries and interactive report sections.
02 · Key Contributions
What I engineered across the product.
Every original contribution preserved in sequential chapters, highlighting technical execution.
As AI Engineer / Full Stack AI Engineer at GiFTEM — Shuvel Digitech, I engineered core capabilities across the product.
3 engineering deliverables
01
Designed and implemented the end-to-end Job Market Scout feature across the recruiter interface, backend services, AI research workflow, data persistence, and asynchronous processing.
02
Developed an AI-powered market research workflow that transforms a selected job into structured hiring-market intelligence.
03
Integrated current public market research with structured AI outputs to produce consistent and recruiter-readable reports.
3 engineering deliverables
04
Built interactive visualizations for presenting demand, skill trends, hiring activity, talent availability, and compensation insights.
05
Implemented background processing, progress states, failure handling, and reusable stored reports for long-running market research operations.
06
Created a PDF export experience that allows recruiters to download and share generated market intelligence reports.
03 · Capabilities
Capabilities designed around real user needs.
The product features and system behaviors delivered by this project.
01
AI-Powered Market Research
Researches the current hiring landscape for a selected job using publicly available market information.
02
Market Demand Insights
Presents a clear view of hiring demand and overall market activity related to the selected job.
03
Talent Availability
Provides recruiter-friendly insights into the availability and concentration of relevant talent.
04
Skill Trend Analysis
Highlights important skill signals and changing capability expectations across the hiring market.
05
Compensation Intelligence
Summarizes publicly available compensation signals to support hiring preparation and market awareness.
06
Hiring Activity Visualization
Uses visual summaries and charts to communicate market movement and job-posting activity.
07
Source-Aware Research
Provides supporting source information so recruiters can understand the basis of the generated report.
08
Exportable Market Report
Enables recruiters to export the generated market intelligence as a professionally formatted PDF report.
04 · System flow
How the system moves from input to outcome.
A stage-based connected process visualization preserving every workflow step.
Stage 01
Recruiter creates or selects a job
Stage 02
Job Market Scout prepares the research context
Stage 03
Current public market information is researched
Stage 04
AI organizes the findings into structured intelligence
Stage 05
The generated market report is stored for reuse
Stage 06
Recruiter explores demand, talent, skills, and compensation insights
Stage 07
The report can be exported as a PDF
05 · Decisions
Constraints translated into engineering decisions.
The problems that shaped the product and the responses used to address them.
01
The constraint
Recruiters often need to review information from multiple public sources to understand the market for a particular job.
Engineering decision
Developed an AI-powered research workflow that gathers relevant market signals and organizes them into a unified report.
02
The constraint
Publicly available hiring information can vary significantly in quality, completeness, and freshness.
Engineering decision
Implemented structured report generation, source awareness, research timestamps, and limited-data handling to communicate available information responsibly.
03
The constraint
Market research reports contain multiple categories of information that can be difficult to review as plain text.
Engineering decision
Created a visual report experience using concise summaries, indicators, charts, and structured insight sections.
04
The constraint
Market research and AI processing can take time and should not block the recruiter interface.
Engineering decision
Moved report generation into a reliable asynchronous workflow with progress, completion, and failure states.
05
The constraint
Recruiters may need to share market intelligence with hiring managers and other stakeholders.
Engineering decision
Built a professionally formatted PDF export workflow for generated market reports.
06 · Technology
Technology and tools
The complete technology stack utilized in this project, organized by engineering area.
Frontend
Next.js
React
TypeScript
Material UI
Data Visualization
Backend
Node.js
Express.js
REST APIs
Background Services
AI & Research
OpenAI API
Web Search
Structured Outputs
Market Research
Data & Processing
PostgreSQL
Sequelize
Redis
Bull Queues
Reports & Infrastructure
PDF Export
Background Workers
AWS
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