AI Engineer

Mercury Insurance is a recognized leader in the insurance industry, recently awarded as one of America's Best Midsize Employers for 2025. They are seeking an AI Engineer to join their AI/ML Engineering team, where the role involves implementing advanced AI solutions, including Large Language Models and multimodal applications, while collaborating with the engineering team to enhance software systems.

Responsibilities:

• 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

Requirements:

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