Pipeline run
6310ddc2-96f2-407b-b4b8-b4ced5227114
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
—
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)
Skill cluster (0 dimension groups, role-scoped)
Status:
extract_from_jd_done
Created: 2026-05-27T17:15:52.564663Z
Updated: 2026-05-27T17:15:52.564663Z
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
Hi, Greetings from SculptSoft Pvt. Ltd. !! About Us: “We at SculptSoft are sculpting the ideas to make the client's organization healthy and take it to the pinnacle of its success with the right technology and processes.” SculptSoft was founded in 2012. Since then we have been delivering innovative business solutions to our clients globally. Our core beliefs are anchored in understanding the clients' business goals, objectives and solving complex problems with the most effective solutions as a true business partner. Our rich legacy is reflected in our client list with a strong trust shared between us. We bring together the best of both worlds - automation through our technology solutions, and efficiency through our back-office services. You can know more about by clicking on www.sculptsoft.com Skills: FullStack .Net Developer • Experience as a hard core full stack developer in .Net Technologies Why Sculptsoft: Ø 5 Days working culture Ø Flexibility Ø Friendly Environment Ø Work life balance Ø Training & Development Ø International Client exposure Ø 120+ Employee Staff • Email your CV on priya.desai@sculptsoft.com if the JD is suitable with your current expertise or you can directly call on 8320103418 for more details.
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
{}