Senior AI/ML Engineer, LLMs

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $235k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EvolutionIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

EvolutionIQ is a cutting-edge technology company specializing in AI-powered claims guidance to improve the efficiency of insurance claims processing. The company focuses on simplifying complex claims data into actionable insights, enabling claims professionals to provide higher quality service with less effort and more personalized support. EvolutionIQ's solutions are specifically designed to address challenges in areas such as Group & Individual Disability, Workers' Compensation, and Income Protection, enhancing claimant experience, reducing costs, and optimizing process efficiency. The company prides itself on harnessing human-centric AI to drive better outcomes in claims management.

📋 Description

• Lead AI/ML projects end-to-end from ideation and requirements gathering through architecture, development, deployment, and ongoing optimization • Make high-level architectural and technical decisions for scalable, performant, reliable, maintainable AI/ML systems • Design, build, and deploy AI-powered and LLM-driven features for the claim synthesis product • Extract key information from complex medical documents • Develop human-in-the-loop summarization workflows • Implement hybrid machine learning solutions using statistical models, LLMs, RAG, and embeddings-based retrieval • Write clean, scalable, efficient code and optimize existing production AI/ML systems • Collaborate with data labelers and SMEs to evaluate AI outputs and improve model performance • Partner with Product, Engineering, and cross-functional teams to gather requirements, define technical approaches, prioritize work, and iterate on feedback • Provide technical leadership and guidance to engineers and establish AI/ML best practices • Break down complex, ambiguous problems into technical solutions and drive projects forward • Translate cutting-edge AI/ML research and novel techniques into reliable, maintainable production solutions for live customer environments

🎯 Requirements

• 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 from concept through production deployment • Experience making architectural decisions for AI/ML systems and evaluating tradeoffs across scalability, reliability, performance, and maintainability • Hands-on experience with statistical machine learning techniques and hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models • Experience with vector search and similarity measures • Proven ability to build and integrate API services within service-oriented or microservice architectures • Strong skills evaluating and interpreting LLM outputs and AI model predictions • Expertise in prompt engineering and fine-tuning large language models for domain-specific applications • Strong communication and collaboration skills • Experience translating state-of-the-art AI/ML research into production code • Experience 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, such as images and audio • Experience mentoring engineers or providing technical leadership across projects or teams • Candidates requiring visa transfer must currently be in the U.S. and hold an active visa applicable for transfer

🏖️ Benefits

• Annual bonus plan • Company equity plan (RSUs) • Medical, dental, and vision insurance • Short- and long-term disability insurance • Life insurance and AD&D • 401(k) 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 professional development • Tuition reimbursement • Visa sponsorship/transfer consideration for candidates currently in the U.S. with an active visa