{
  "must_have_skills": [
    "embeddings",
    "vector databases",
    "Python",
    "ranking systems",
    "evaluation frameworks",
    "LLM fine-tuning",
    "learning-to-rank",
    "HR-tech",
    "distributed systems",
    "open-source contributions",
    "retrieval",
    "ranking",
    "search",
    "recommendation systems",
    "production experience",
    "hybrid search",
    "FAISS",
    "Elasticsearch",
    "Milvus",
    "Pinecone",
    "Weaviate",
    "Qdrant",
    "OpenSearch"
  ],
  "nice_to_have": [
    "retrieval",
    "ranking",
    "search",
    "recommendation systems",
    "evaluation",
    "LLM",
    "distributed systems",
    "open-source contributions"
  ],
  "job_titles": [
    "Senior AI Engineer",
    "AI Engineer",
    "Search Engineer",
    "Ranking Engineer",
    "Information Retrieval Engineer",
    "Data Scientist",
    "Machine Learning Engineer",
    "Research Scientist",
    "Research Engineer",
    "MLOps Engineer",
    "Software Engineer"
  ],
  "target_industries": [],
  "exclude_companies": [],
  "education_fields": [
    "Machine Learning",
    "AI",
    "Computer Science"
  ],
  "certifications": [],
  "years_min": 5.0,
  "years_max": 9.0,
  "locations_preferred": [
    "Pune",
    "Noida",
    "Hyderabad",
    "Mumbai",
    "Delhi NCR"
  ],
  "locations_acceptable": [],
  "acceptable_countries": [
    "India"
  ],
  "subjective": {
    "ideal_summary": "Senior AI engineer with 6-8 years total experience, of which 4-5 are in applied ML/AI roles at product companies. Has shipped at least one end-to-end ranking, search, or recommendation system to real users at meaningful scale. Strong opinions about retrieval (hybrid vs dense), evaluation (offline vs online), and LLM integration (when to fine-tune vs prompt) — and can defend them with reference to systems they actually built. Located in or willing to relocate to Noida or Pune. Active on Redrob platform (or has clear signal of being in the job market) so we can actually talk to them."
  },
  "_timing": {
    "objective_seconds": 14.699743399978615,
    "summary_seconds": 8.636958300019614
  }
}