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Senior Artificial Intelligence / Machine Learning Engineer

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Senior Artificial Intelligence / Machine Learning Engineer

EvolutionIQ

Senior Artificial Intelligence / Machine Learning Engineer

Skills

PythonMicroservicesMachine LearningAI

2 months ago

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Important information


Salary:

$200,000 – $235,000 / year

Location:

United States

Work mode:

Remote

Published on:

2 September 2026

What they need


Who you are

  • 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
  • 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
  • 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 the job involves

  • 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
  • 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

Benefits

  • Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
  • 401K with employer matching
  • Dental Coverage – Principal Financial
  • Life insurance / ACDC coverage – Reliance Standard
  • Vision – Reliance Standard
  • Short Term and Long Term Disability – Unum
  • Employee stock option plan
  • $500 to get you started setting up your home office and $200 every year for upgrades after that

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