GEICO · 3 hours ago
Senior Engineer- Applied AI (Python)
Palo Alto, CA
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $215K/yr
4+ years expGEICO is a leading insurance company that is seeking a Senior Engineer, Applied AI to enhance customer and associate experiences through innovative AI technologies. The role involves designing, building, and integrating AI-powered capabilities while collaborating with engineering teams and product leaders to deliver scalable solutions.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
No H1B
Responsibilities
Design, develop, and maintain scalable, high-performance microservices using Python, FastAPI and LangChain/ LangGraph to power AI-enabled applications
Contribute to the architecture and implementation of applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants
Build and integrate AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic using Python-based AI frameworks
Implement Retrieval-Augmented Generation (RAG) patterns, Model Context Protocol (MCP) integrations, and agent skills to enhance AI application capabilities
Develop systems that meet high standards for scalability, resilience, performance, and availability in production environments
Leverage knowledge graphs and vector databases to enhance reasoning, entity relationships, and context retrieval in AI workflows
Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs and deliver scalable AI solutions
Participate in code reviews, provide constructive feedback, and help junior engineers develop AI and agentic workflow skills
Drive continuous improvement by exploring new models, frameworks, and reasoning techniques and applying them to real-world challenges
Utilize AI-assisted development tools (e.g., Claude, Cursor, Codex) to accelerate development and improve engineering productivity
Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
4+ years of professional software engineering experience building maintainable, scalable, and high-performance systems in Python
Strong proficiency in modern Python and Python based frameworks with familiarity of recent features and best practices in artificial intelligence
Solid knowledge of Langchain and related frameworks
Hands-on experience working with Generative AI, LLM-based systems, or AI-powered applications
Experience in designing and deploying distributed systems and microservice-based architectures
Understanding AI concepts including agent architectures, Generative AI, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and workflow orchestration
Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity
Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns
Familiarity with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Solid understanding of CI/CD, automated testing, and monitoring best practices
Good communication skills and a collaborative, team-oriented mindset
Ability to collaborate across teams and co-create solutions with engineers, product managers, and domain experts
Preferred
Hands-on experience implementing Agentic AI solutions
Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) and knowledge graph and semantic layer technologies
Familiarity with Python-based AI frameworks (LangChain, LlamaIndex, Hugging Face) for prototyping or integration
Experience with insurance, financial services, or other regulated industries
Experience in data catalogs and data engineering pipelines
Experience mentoring junior engineers or leading small project initiatives
Contributions to open-source projects in AI, Python, microservices, or cloud tools
Familiarity with AI safety practices, evaluation frameworks, AI performance and regulatory compliance
Benefits
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
Company
GEICO
GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Acquired
Leadership Team
Todd Combs
Chairman, President, and Chief Executive Officer
Clayton Johnson
Sr. Director of Product Management
Recent News
2026-01-24
Company data provided by crunchbase