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 2024!

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.

State specific pay scales for this role are as follows:

$85,480 to $157,868  (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$77,709 to $143,516 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$69,938 to $129,165  (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.

Essential Job Functions: 

• 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

Education: 

Minimum:

• Bachelor's degree in Computer Science, Software Engineering, or related technical field

Preferred:

• Master’s degree or PhD in Computer Science, Software Engineering, or related technical field

Experience:

Minimum:

• 2+ years of software engineering experience
• 2+ years of hands-on experience with AI/ML systems
• Experience with Large Language Models and/or Vision Language Models
• Familiarity with at least one of: document understanding, OCR, speech recognition, or conversational AI
• Experience with foundation model evaluation, selection, or fine-tuning
• Knowledge of distributed systems concepts

Preferred:

• 3+ years of software engineering experience
• 3+ years of hands-on experience implementing AI/ML solutions
• Demonstrated experience across multiple AI domains (language, vision, speech)
• Experience developing document understanding or OCR systems
• Track record of building conversational AI or speech recognition applications
• Experience with model deployment and monitoring in production
• Experience with multimodal AI systems integration
• Familiarity with large language model evaluation benchmarks

Knowledge and Skills:

Minimum:

• Strong programming skills in Python and at least one other modern language (e.g., Java, Go)
• Solid understanding of software design patterns and principles
• Experience with AI/ML frameworks (PyTorch, TensorFlow, or similar)
• Proficiency with foundation model APIs (OpenAI, Anthropic, etc.)
• Knowledge of LLM architectures and capabilities
• Knowledge and experience with fine-tuning foundational models
• Experience with at least one: computer vision frameworks, OCR technologies, speech recognition systems, or conversational AI platforms
• Experience with prompt engineering and optimization for foundation models
• Knowledge of AI evaluation methodologies and metrics
• Ability to work with cloud-based AI infrastructure
• Good verbal and written communication abilities

Preferred:

• 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

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

We offer many great benefits, including:

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Mercury Insurance is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.