Technical Talent Discovery

A document-grounded, reasoning-capable assistant that helps digital infrastructure teams identify high-potential candidates across internal resume data.
Icon of magnifying glass analyzing a list of potential job candidates

Problem

Fast-moving engineering and AI organizations need to form capable teams quickly—but traditional search tools miss nuance. Keyword filters overlook hybrid skillsets, leadership signals, and adjacent experience that often define great hires.

Hiring managers don’t ask for “React + SQL”—they ask things like:

  • “Who’s worked in fintech, led backend systems, and could grow into a team lead role?”
  • “Who’s contributed to open source and understands geospatial data?”
  • “Who could ramp up on AI product work, even without direct model training experience?”These are multi-step, inference-heavy questions—and most tools can’t answer them.

What it does

This prebuilt solution transforms complex hiring queries into multi-step reasoning flows. Stakeholders use natural language to surface candidates who match inferred intent, not just surface-level tags.

Each result includes:

  • Hyperlinked resumes for fast handoff
  • Grounded responses with clear citations
  • Multi-turn query support (follow-ups, refinements, chaining)

How it works (Powered by SeekrFlow™)

This solution uses SeekrFlow’s modular agent architecture:

Planner: Interprets hiring prompts, infers structure and intent

Executor: Retrieves structured resume chunks using FileSearch

Evaluator: Scores results based on relevance, depth, and clarity

Thread-aware: Supports multi-turn queries and session cleanup via UI or SDK

SeekrFlow’s AI-Ready Data Engine handles resume ingestion, chunking, and metadata tagging—no extra training or ops required.

Ideal users

  • Engineering and product leads forming agile teams
  • AI team managers staffing cross-functional initiatives
  • Talent ops and internal mobility specialists
  • ICT orgs managing large-scale internal staffing pools

Built on SeekrFlow

AI-Ready Data Engine: Resume chunking, metadata tagging

FileSearch: Hybrid search over internal resume corpora

Agent Framework: Planner, Executor, Evaluator

Evaluation Engine: Optional scoring for every result

Web UI & SDK: End-to-end access without notebooks or ops

Value

  • Answers complex talent questions—not just keyword matches
  • Surfaces high-potential candidates who’d be missed by filters
  • Accelerates formation of high-impact teams
  • Explainable, auditable results—not black-box guesses
  • Extensible: adapt it with your own success traits, history, or enrichment layers

Where you can extend it

This Prebuilt Solution is fully extensible via SeekrFlow UI, SDK, or pipeline updates:

  • Fine-tune with past hire data or internal success traits
  • Add new resume sources, project histories, or GitHub enrichment
  • Chain to outreach tools or summary generators
  • Integrate recruiter feedback to refine matching over time

Solution traits

Prebuilt Solution | Agentic | Retrieval-Augmented | Evaluable | UI-Ready | Extendable

Takeaway

This isn’t resume search—it’s a reasoning-powered copilot for talent strategy. Deployed on SeekrFlow, it helps technical orgs discover, evaluate, and assemble the right team—faster and more intelligently than traditional filters ever could.

Ready to try it yourself?

Let’s Talk

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