AI Engineer

Datrics
Anywhere
Workplace: RemoteFull timeUSD 50,000 - 70,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Analytical skills","Data science skills"]

Build and improve generative AI features that reduce mistakes in insurance claims, helping care providers deliver support faster. You’ll apply expertise in NLP, LLMs, and context engineering while using strong analytical and data science skills to drive product impact in healthcare workflows.

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FursaFursa
Datrics
Datrics
1 year ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and improve generative AI features that reduce mistakes in insurance claims, helping care providers deliver support faster. You’ll apply expertise in NLP, LLMs, and context engineering while using strong analytical and data science skills to drive product impact in healthcare workflows.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work on a product that reduces mistakes in insurance claims
  • •Help care providers deliver help to people faster
  • •Apply NLP and LLM techniques to healthcare claim workflows
  • •Use strong analytics to improve model/product outcomes
  • •Implement context-engineering approaches in the AI solution

Pay and Benefits

Salary: USD 50,000 - 70,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of experience
  • •Expertise in NLP and LLMs
  • •Experience with context engineering
  • •Strong analytical and data science skills
  • •Proficiency with Python
Experience:3+ yearsData science
Skills:Analytical skillsData science skills
Tech Stack:NLPLLMsContext engineeringMachine learningPython

Company Brief

Datrics
Provides a no-code/low-code platform for building, deploying, and monitoring machine learning models and data workflows, enabling data scientists and business users to collaborate on end-to-end AI projects without heavy engineering overhead.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Headquarters: Bucharest, Romania
Founded: 2019
WebsiteLinkedIn