Liya Engine

Plan a lateral move or cross-industry career change — identifying transferable skills, gaps, and a realistic path forward.

POST /v1/hiring/career-transition-planning

Analyses the viability of a career transition, identifies transferable skills, surfaces gaps unique to the new domain, and produces a phased action plan.

Required inputs

Field	Type	Notes
`input.user_id`	`string`	Your platform's user ID
`input.profile`	`ProfileInput`	Current background and skills
`input.career_goals`	`CareerGoalsInput`	Target role and `transition_type`

Optional inputs

Field	Type	Notes
`input.resume`	`ResumeInput`	Resume to extract additional transferable evidence
`input.job_description`	`JobDescriptionInput`	Specific target role to analyse against
`input.session_history`	`SessionHistoryInput`	Continue a multi-turn coaching conversation

transition_type values

Value	Meaning
`adjacent`	Same function, different industry
`cross_industry`	Different function and industry
`restart`	Career break re-entry or major pivot

Example request

curl -X POST https://api.liyaengine.ai/v1/hiring/career-transition-planning \
  -H "x-api-key: $LIYA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "user_id": "usr_123",
      "profile": {
        "title": "Financial Analyst",
        "years_of_experience": 6,
        "skills": ["Excel", "SQL", "financial modelling", "Python basics"]
      },
      "career_goals": {
        "target_role": "Data Analyst",
        "target_industry": "Technology",
        "timeline": "6_months",
        "transition_type": "adjacent",
        "career_change": true
      }
    }
  }'

Response

{
  "success": true,
  "data": {
    "output": {
      "transition_viability": "strong",
      "transferable_skills": [
        "SQL proficiency directly applicable",
        "Python basics provide a foundation to build on",
        "Financial modelling demonstrates analytical rigour"
      ],
      "gaps_to_close": [
        "Data visualisation tools (Tableau, Looker)",
        "Advanced Python (pandas, numpy)",
        "Business intelligence / analytics context in tech"
      ],
      "phased_plan": [
        {
          "phase": "Foundation",
          "duration_weeks": 8,
          "actions": [
            "Complete a Python for data analysis course",
            "Build 2 portfolio projects using public datasets"
          ]
        },
        {
          "phase": "Portfolio & applications",
          "duration_weeks": 8,
          "actions": [
            "Publish projects to GitHub",
            "Reframe finance experience as data-driven storytelling in resume",
            "Target fintech or finance-adjacent tech companies where background is a differentiator"
          ]
        }
      ],
      "confidence": { "score": 0.88, "level": "high" }
    }
  }
}

Career Transition Planning

Required inputs

Optional inputs

transition_type values

Example request

Response

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