Senior AI / ML Engineer (LLMs)
我们致力于提供最先进的技术，帮助保险理赔团队更准确、公平和高效地处理理赔，让更多受到伤害或疾病影响的人能够以尊严和稳定继续生活。我们正在经历快速增长，为了实现我们的目标，我们正在招聘世界级的优秀人才，他们希望帮助构建和扩展内部系统，并改变保险行业。我们的团队是我们的首要任务，我们连续三年被评为[Inc.最佳工作场所](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace)，并被Built In评为2025年和2026年的最佳工作场所！
作为一位有抱负的AI/ML工程师，你将在推动我们行业领先的医疗合成产品方面发挥关键作用。你对工作有很强的责任感，并且有从构思和需求收集到架构、实现、部署和迭代的完整项目经验。你能够在高度自主的环境中工作，做出深思熟虑的架构和技术决策，并帮助指导整个产品中AI/ML解决方案的方向。你在快节奏的初创环境中表现出色，持续关注最新的AI和机器学习研究。你热衷于应用结合大型语言模型（LLMs）、统计机器学习技术和基于检索增强生成（RAG）的嵌入模型的混合方法，为用户提供更好的、更可靠的结果。
在这一职位中，你将：
- 全程主导AI/ML项目，从最初的构思和需求收集到架构、开发、部署和持续优化
- 为AI/ML系统做出高层次的架构和技术决策，平衡可扩展性、性能、可靠性、可维护性和业务影响
- 设计、构建和部署我们理赔合成产品中的AI驱动和LLM驱动功能，包括从复杂医疗文档中提取关键信息以及人机协作的摘要工作流程
- 开发和实现结合统计模型、LLMs和基于嵌入的检索技术（如RAG）的混合机器学习解决方案，以提高系统的准确性、可扩展性和稳健性
- 编写清晰、可扩展且高效的代码，同时优化性能
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**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, 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](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace) 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:**
- 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
**Skills 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 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
**Bonus Points:**
- 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
**Work-life, Culture & Perks:**
- **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.
_EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees._