Senior AI / ML Engineer (LLMs)

United States·New YorkRemotesenior

Machine 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

Machine Learning EngineerData

Requirements

~2 min read

Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
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 closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments

5-8+ 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
Proven experience leading technical projects and driving them from concept through production deployment
Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
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
Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders

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)
Experience mentoring engineers or providing technical leadership across projects or teams

What We Offer

~1 min read

✓Compensation: The base salary range is $200-235K, 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.

Location & Eligibility

Where is the job

New York, United States

Remote within one country

Who can apply

Listing Details

Posted: August 25, 2026
First seen: August 25, 2026
Last seen: August 27, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 68%
Scored at: August 25, 2026

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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

Domain

evolutioniq.com

Jobs

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Salary

From $1,000

per year