From $1,000/yr

Senior AI/ML Engineer (LLMs)

United StatesNew YorkRemotesenior
Data ScienceOtherMachine Learning EngineerData
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Quick Summary

Overview

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient,

Technical Tools
Data ScienceOtherMachine Learning EngineerData
  • 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

~1 min read
  • 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

~1 min read
  • 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

~1 min read
Compensation: The base salary range is $185-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

Listing Details

First seen
March 26, 2026
Last seen
April 24, 2026

Posting Health

Days active
28
Repost count
0
Trust Level
43%
Scored at
April 24, 2026

Signal breakdown

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Evolutioniq
Evolutioniq
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EvolutionIQ is an AI-powered claims guidance platform for the insurance industry, designed to improve claims processing, reduce costs, and help injured individuals recover faster.

Employees
125
Founded
2019
View company profile
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EvolutioniqSenior AI/ML Engineer (LLMs)From $1k