Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Our Service Engineering team at GEICO is revolutionizing customer service using AI and multi-agent systems. If you're passionate about creating large-scale, distributed AI applications with significant business impact, this opportunity is perfect for you. Our focus is on enhancing self-service rates across all communication channels, from voice (IVR) to chat.
Our Senior Engineer is a leading member of the engineering staff working across the organization to provide friction-less experience for our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
As a Senior Engineer, you will:
- Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat).
- Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.
- Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.
- Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.
- Stay at the forefront of AI and distribute systems research, bringing innovative approaches and tools into production environment.
- Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
- Consistently share best practices and improve processes within and across teams
Qualifications
- Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
- Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance.
- Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).
- Demonstrated ability to apply AI/ML solutions to real-world business problems, delivering measurable impact in areas such as natural language processing, speech recognition, recommendation systems, or intelligent automation.
- Experience in building products using micro-service-oriented architecture and extensible REST APIs
- Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
- Experience with continuous delivery and infrastructure as code
- Experience in leveraging PowerShell scripting
- Experience in existing Operational Portals such as Azure Portal
- Experience with application monitoring tools and performance assessments.
- Ability to excel in a fast-paced, startup-like environment
- Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
Experience
- 4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)
- 4+ years of experience in open-source frameworks
- 3+ years of experience with architecture and design
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
Education
- Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience
Annual Salary
$100,000.00 - $215,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Similar Jobs
.jpg){kind=logo}
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
