Role overview
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025!
Position Summary:
We're seeking an AI Engineer who combines strong software engineering skills with specialized expertise across multiple AI and ML domains. As part of our AI/ML Engineering team, you'll work with Large Language Models (LLMs), Vision Language Models (VLMs), speech recognition systems, and conversational AI technologies. This role requires someone who can implement document understanding solutions, OCR systems, human-in-the-loop processes, and multimodal AI applications. You'll focus on model selection, evaluation, fine-tuning, and deployment while collaborating with the broader engineering team to build systems that leverage both traditional software engineering principles and advanced AI technologies.
An in-person interview may be required during the hiring process.
Geo-Salary Information
State specific pay scales for this role are as follows:
$83,670 to $161,875 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$76,074 to $147,104 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$68,457 to $132,394 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
What you'll work on
- Implement and fine-tune Large Language Models (LLMs) for various business applications
- Develop Vision Language Models (VLMs) for image understanding and multimodal applications
- Design and build document understanding systems leveraging OCR and advanced text processing
- Create speech recognition and conversational AI solutions
- Recommend and establish human-in-the-loop processes for AI model improvement across modalities
- Build and deploy AI agents and assistants using foundation models
- Integrate multimodal capabilities (text, vision, speech) into unified AI systems
- Evaluate and benchmark foundation models across different domains and tasks
- Implement effective prompt engineering strategies for LLMs and VLMs
- Partner with our platform team for model serving infrastructure and monitoring solutions for production AI systems
- Create and maintain evaluation frameworks and metrics for different AI modalities
- Collaborate with team members to integrate AI capabilities into existing software systems
- Stay current with emerging AI technologies and research advancements
What we're looking for
- Experience with multimodal AI systems (text, vision, speech)
- Expertise in document understanding or information extraction
- Skills in building conversational agents or voice assistants
- Experience with computer vision models and image processing
- Knowledge of RAG (Retrieval Augmented Generation) systems
- Experience with human-in-the-loop AI systems
- Familiarity with AI alignment and safety practices
- Experience with model deployment and serving infrastructure
- Skills in AI/ML performance optimization techniques
- Experience with containerization and orchestration technologies
About The Company
Why choose a career at Mercury?
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers