Sr. Software Engineer - Applied AI Job at Geico (Palo Alto)

Sr. Software Engineer - Applied AI

Geico

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

80000.00 - 215000.00 USD / Year

Save Job

Apply Position

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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:

Fulltime

Work Type:

Remote work

Geico - All Job Offers

Job Link Share: