EvolutionIQ

EvolutionIQ

Senior AI / ML Engineer (LLMs)

New York, NY or Remote · Senior

Sponsorship not specified$200k-$235kDetected 58 days ago
PythonMachine LearningLLMsRAGResearchLeadershipCommunicationCollaborationMentoring

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 26 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026!
  • Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research.
  • Please check with our Recruiting team if your visa is applicable for transfer.

Responsibilities

  • Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
  • Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
  • Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
  • Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback

Requirements

  • 5-8+ years of experience writing performant Python code following modern best practices
  • 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
  • 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
  • Experience translating state-of-the-art AI/ML research into production code
  • Experience mentoring engineers or providing technical leadership across projects or teams
  • You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration.
  • You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product.

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.

Benefits

  • 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
  • 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).
  • We offer a flexible schedule for new parents returning to work.
  • Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
  • 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

Company info

  • 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 currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026!
  • About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You're passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
  • In this Role You Will:
  • 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 currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space.
  • About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product.
  • You're passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
  • Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
  • Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
  • Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
  • Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments
  • Skills Requirements:
  • 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

Equal opportunity

  • equal opportunity employer.
  • EvolutionIQ is an equal opportunity employer.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from EvolutionIQ's careers page and normalized into a canonical job model.