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Pipeline run

00df0e78-b235-4cf3-afb7-c9957b5ef267

Pipeline LLM cost (USD)

API 1: $0.0017 API 2: $0.0000 API 3: $0.0000 Total: $0.0017

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

SPARSE JD

Nature of work

—

no_db_connection

Tech stack maturity

Mainstream Modern

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

0.00 / 5

· Title match

· Has AI skill

· AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): —

Evidence — skills matched in JD (0)

No skills extracted

Skill cluster (0 dimension groups, role-scoped)

No dimension groups computed for this JD.

Status: extract_from_jd_done Created: 2026-05-27T17:40:21.274549Z Updated: 2026-05-27T17:40:21.274549Z

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Perficient
US based Organization(25 yrs old company globally)
American Public Limited company listed is NASDAQ
Started on Oct 1- 2011 -in Chennai
2000 employees in India
Dealing with implementation projects for 650 clients
Best partner of the year for 4 time- by Microsoft
7 times golden partner reward - IBM
Dealing with 99% development project, 1% - support and other BPO Projects
Why Perficient
High Technology Growth (as dealing only with development project)
Able to learn multiple technologies
Work Life balance –ie, Flexi timing for employees
Medi claim Policy and Loyalty bonus
One of the top branded Organization
Needed:
Should have 4-6 years experience in Java developer
Willing to relocate to chennai, bangalore and hyderabad

Library artifacts (this run)

No artifact rows for this run.

nano JD Parser — gpt-4.1-nano click to toggle

JD type fail

Show raw JSON

{
  "JD_type": "fail"
}

API 1 — extract-from-jd click to toggle

{
  "final_skills": [],
  "jd_role": {
    "display_name": "\u2014",
    "rationale": "Stage 1 marked JD_type=fail (unparseable); body has only 0 canonical-skill mentions and 0 tech-marker hits \u2014 insufficient evidence",
    "role_aliases": [],
    "role_archetype": "\u2014",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "fail"
  },
  "rejected": true,
  "rejection_reason": "Stage 1 marked JD_type=fail (unparseable); body has only 0 canonical-skill mentions and 0 tech-marker hits \u2014 insufficient evidence",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}

API 2 — extract-details

{}

API 3 — final-role-output

{}