Pipeline run
f9982f5e-b9da-449e-8336-c3627ae84635
Pipeline LLM cost (USD)
API 1: $0.0029
API 2: $0.0000
API 3: $0.0000
Total: $0.0029
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)
1.70 / 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):
AI, ML, AI/ML, Machine Learning
Evidence — skills matched in JD (11)
AI
Machine Learning
EU AI Act
AI ethics
model cards
datasheets
impact assessments
AI risk register
responsible-AI principles
regulatory frameworks
model governance
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
Audit AI/ML systems for compliance with EU AI Act and emerging US regulations
Review model cards, datasheets, and impact assessments
Coordinate with legal counsel on regulatory submissions
Maintain the corporate AI risk register
Train product teams on responsible-AI principles
AI ethics, regulatory frameworks, model governance, policy writing
Signals
Skill
ml-engineer
0.09
Alias
—
—
KRA
cybersecurity-engineer
0.42
Status:
extract_from_jd_done
Created: 2026-05-18T20:26:00.793023Z
Updated: 2026-05-18T20:26:00.793023Z
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
AI Compliance Officer — RegulatoryCo We're hiring an AI Compliance Officer. Responsibilities: - Audit AI/ML systems for compliance with EU AI Act and emerging US regulations - Review model cards, datasheets, and impact assessments - Coordinate with legal counsel on regulatory submissions - Maintain the corporate AI risk register - Train product teams on responsible-AI principles Required skills: AI ethics, regulatory frameworks, model governance, policy writing
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
AI
Primary
No API 2 row (run stopped after API 1 or history missing)
Machine Learning
Primary
No API 2 row (run stopped after API 1 or history missing)
EU AI Act
Primary
No API 2 row (run stopped after API 1 or history missing)
AI ethics
Primary
No API 2 row (run stopped after API 1 or history missing)
model cards
Primary
No API 2 row (run stopped after API 1 or history missing)
datasheets
Primary
No API 2 row (run stopped after API 1 or history missing)
impact assessments
Primary
No API 2 row (run stopped after API 1 or history missing)
AI risk register
Primary
No API 2 row (run stopped after API 1 or history missing)
responsible-AI principles
Primary
No API 2 row (run stopped after API 1 or history missing)
regulatory frameworks
Primary
No API 2 row (run stopped after API 1 or history missing)
model governance
Primary
No API 2 row (run stopped after API 1 or history missing)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleAI Compliance Officer
CompanyRegulatoryCo
DomainOther
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": "RegulatoryCo",
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [],
"role": "AI Compliance Officer",
"role_archetype": "Other",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Audit AI/ML systems for compliance",
"last_5_words": "on responsible-AI principles"
},
"text": "Audit AI/ML systems for compliance with EU AI Act and emerging US regulations\nReview model cards, datasheets, and impact assessments\nCoordinate with legal counsel on regulatory submissions\nMaintain the corporate AI risk register\nTrain product teams on responsible-AI principles",
"word_count": 41
},
{
"bullet_count": 0,
"heading": "Required skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "AI ethics, regulatory frameworks, model",
"last_5_words": "governance, policy writing"
},
"text": "AI ethics, regulatory frameworks, model governance, policy writing",
"word_count": 8
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "AI"
},
{
"is_primary": true,
"skill_name": "Machine Learning"
},
{
"is_primary": true,
"skill_name": "EU AI Act"
},
{
"is_primary": true,
"skill_name": "AI ethics"
},
{
"is_primary": true,
"skill_name": "model cards"
},
{
"is_primary": true,
"skill_name": "datasheets"
},
{
"is_primary": true,
"skill_name": "impact assessments"
},
{
"is_primary": true,
"skill_name": "AI risk register"
},
{
"is_primary": true,
"skill_name": "responsible-AI principles"
},
{
"is_primary": true,
"skill_name": "regulatory frameworks"
},
{
"is_primary": true,
"skill_name": "model governance"
}
],
"jd_role": {
"display_name": "AI Compliance Officer",
"rationale": null,
"role_archetype": "Other",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": "RegulatoryCo",
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [],
"role": "AI Compliance Officer",
"role_archetype": "Other",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Audit AI/ML systems for compliance",
"last_5_words": "on responsible-AI principles"
},
"text": "Audit AI/ML systems for compliance with EU AI Act and emerging US regulations\nReview model cards, datasheets, and impact assessments\nCoordinate with legal counsel on regulatory submissions\nMaintain the corporate AI risk register\nTrain product teams on responsible-AI principles",
"word_count": 41
},
{
"bullet_count": 0,
"heading": "Required skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "AI ethics, regulatory frameworks, model",
"last_5_words": "governance, policy writing"
},
"text": "AI ethics, regulatory frameworks, model governance, policy writing",
"word_count": 8
}
],
"urls": []
},
"run_id": null,
"stage3_signals": {
"alias_match_roles": [],
"kra_match_roles": [
{
"display_name": "Cybersecurity Engineer",
"matched_count": null,
"role_id": 5,
"score": 0.4176,
"slug": "cybersecurity-engineer",
"total_count": null
},
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 0.4149,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"matched_count": null,
"role_id": 9,
"score": 0.3819,
"slug": "cloud-architect",
"total_count": null
},
{
"display_name": "Data Engineer",
"matched_count": null,
"role_id": 2,
"score": 0.365,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Backend Engineer",
"matched_count": null,
"role_id": 1,
"score": 0.3591,
"slug": "backend-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": 1,
"role_id": 3,
"score": 0.0909,
"slug": "ml-engineer",
"total_count": 11
}
],
"stage35_ran": false
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "E",
"chosen_role": null,
"confidence": 0.0,
"llm2_fired": false,
"llm2_reasoning": null,
"queued": true,
"reasoning": "low_kra: top KRA 0.42 \u003c 0.55"
},
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
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