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Senior AI/ML Software Engineer (LLMs)

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EvolutionIQ

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

175000.00 - 225000.00 USD / Year
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Job Description:

EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. You will be designing on a shared, unified platform that can scale across multiple lines of business. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration.

Job Responsibility:

  • Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
  • Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
  • Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
  • Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
  • Partner with Product teams to rapidly iterate on feedback and deliver impactful features
  • Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments

Requirements:

  • 3+ years of experience writing performant Python code following modern best practices
  • Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
  • Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
  • Proven ability to build and integrate API services within service-oriented or microservice architectures
  • Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
  • Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications

Nice to have:

  • Experience translating state-of-the-art AI/ML research into production code
  • Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
  • Experience building agentic or autonomous AI systems in production
  • Background working with multimodal data (e.g., images, audio)
What we offer:
  • Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
  • Additional family, wellness, and pet benefits
  • Paid time off and sick leave
  • 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
  • Flexible schedule for new parents returning to work
  • Catered lunches
  • Happy hours
  • Pet-friendly spaces
  • Monthly technology stipend
  • $1,000/year for each employee for professional development
  • Opportunities for tuition reimbursement

Additional Information:

Job Posted:
January 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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