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Geico Logo Geico · IT - Software Development

Sr. Software Engineer - Applied AI

United States, Palo Alto 80000.00 USD / Year · Job Posted February 21, 2026
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Job Description

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Communications Service Engineering (UCSE) group and lead the development of cutting-edge AI product development. This role is ideal for candidates with deep expertise in building products powered by AI models, with a particular focus on working with large language models (LLMs). You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization by designing, developing, and deploying core consumer experiences that leverage AI, ensuring they are robust, scalable and production ready.

Job Responsibility

  • Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
  • Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
  • Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
  • Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
  • Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
  • Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
  • Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
  • Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
  • Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
  • Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments
  • Model best practices: Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems

Requirements

  • 5+ years of professional software engineering or applied machine learning experience
  • 1+ years working with Generative AI or LLM-based systems in production
  • Strong experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
  • Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
  • Proven track record building scalable, resilient, secure, and maintainable systems that run reliably in production
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
  • Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
  • Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
  • History of delivering measurable business outcomes with AI solutions
  • Strong competency in distributed systems, service design, performance optimization, and reliability engineering
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Nice to have

  • Experience building domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
  • Experience in insurance, financial services, or other regulated industries
  • Experience deploying AI components in Java ecosystems (e.g., Spring AI, LangChain4j, Embabel)
  • Background in document intelligence, fraud or anomaly detection, or complex ontology and knowledge graph design
  • Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance
  • Ability to clearly communicate complex technical topics to senior leadership and non-technical stakeholders

What we offer

  • 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
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