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GEICO

Sr. Software Engineer - Applied AI (REMOTE)

GEICO, Altus, Oklahoma, United States, 73521

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Employer Industry: Insurance and Technology

Why consider this job opportunity: - Salary up to $215,000 - Opportunity for career advancement and growth within the organization - Flexible work arrangements, including the ability to work remotely for up to four weeks per year - Comprehensive benefits package that includes a 401K with a 6% match, performance incentives, and tuition assistance - Collaborative and inclusive company culture that values diverse perspectives - Engage in innovative AI product development that has a real impact on customer experiences

What to Expect (Job Responsibilities): - Design and develop product features and core components that utilize large language models (LLMs) to enhance functionality and user experience - Lead the integration of AI models into scalable, customer-centric applications, optimizing for usability and efficiency - Collaborate with product managers, customers, and other engineering teams to solve complex problems for enterprise-class applications - Mentor and guide junior engineers in building AI-powered products, fostering a high-performance team culture - Assist in design sessions and code reviews to elevate the quality of engineering across the organization

What is Required (Qualifications): - Minimum of 5 years of professional software development experience with at least two modern programming languages such as Java, C++, Python, or C# - At least 4 years of experience with open-source frameworks - A minimum of 3 years of experience in the architecture and design of new and existing systems - At least 3 years of experience in developing AI/ML products, particularly with LLMs or similar AI models - Bachelors degree in Computer Science, Information Systems, or equivalent education or work experience

How to Stand Out (Preferred Qualifications): - Contributions to open-source AI frameworks or a portfolio showcasing applied AI projects - Ability to thrive in ambiguity, navigating complex challenges with minimal direction - Experience with cloud services such as AWS, GCP, or Azure

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