GEICO · 1 month ago
Sr. Software Engineer - Applied AI
United States
Full-time
Remote
Mid, Senior Level
$80K/yr - $215K/yr
5+ years expGEICO is seeking an experienced Sr. Software Engineer to join our Unified Communications Service Engineering group and lead the development of cutting-edge AI product development. This role focuses on designing, developing, and deploying core consumer experiences that leverage AI to transform the insurance business.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
No H1B
Responsibilities
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
Qualification
Required
5+ years of professional software engineering or applied machine learning experience, including 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
Preferred
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
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
Dallas Innovates
2026-01-17
Company data provided by crunchbase