← Back to history

Pipeline run

372b8958-7ba8-4836-824f-86963292e788

Pipeline LLM cost (USD)
API 1: $0.0000 API 2: $0.0000 API 3: $0.0000 Total: $0.0000

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: 2026-05-27T16:17:33.416115Z Updated: 2026-05-27T16:17:33.416115Z
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

Job Title: Mobile Engineer (Flutter & Xamarin)
Skills - C#, Dart, Flutter, Xamarin
Shift- 12-9pm IST
Location - Pune, Hinjewadi - Phase 1, 5 days (WFO)


Seeking a Mobile Engineer with expertise in C#, Dart AND (Flutter OR Xamarin Forms) for cross-platform fin-tech development. Ideal candidates have experience in migrating Xamarin Forms TO Flutter, custom renderers, binding libraries, and MVVM architecture. Must be skilled in .NET AND Git AND (iOS OR Android) with a strong grasp of security (SSL OR TLS) and DevOps (Agile OR Scrum).

Library artifacts (this run)

No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
  "final_skills": [],
  "jd_role": {
    "display_name": "Mobile Engineer (Flutter \u0026 Xamarin)",
    "rationale": "JD body too sparse: 79 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
    "role_aliases": [],
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": null,
  "rejected": true,
  "rejection_reason": "Sparse JD: JD body too sparse: 79 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}