GEICO is seeking a
Senior Staff Software Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications to join our
Tiering & Rating Platform team. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.
Our Senior Staff Engineer is a key member of the engineering staff working across the organization to provide friction-less experience to 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.
This is a hands-on, senior individual contributor role serving as Technical Lead for a team building technical solutions to leapfrog best-in-industry rating, underwriting and Scoring capabilities using declarative schema through a world-class front-end experience to customers to reduce product time-to-market by over 75%. The GEICO Tiering & Rating organization is looking at this role to build Operations excellence and engineering mindset within the team while maintaining an AI first culture of automated testing, deployment, rollbacks and monitoring.
Position ResponsibilitiesAs a Senior Staff Engineer, you will:
- Focus on multiple areas and provide leadership to the engineering teams.
- Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience.
- Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production.
- Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams.
- Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints.
- Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains.
- Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
- Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
- Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
Qualifications- Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design.
- 8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
- A track record of turning research ideas into working products with measurable outcomes.
- Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
- Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design.
- Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features.
- Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.
- Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
- Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts.
- Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design.
- A history of delivering measurable business outcomes from AI systems.
- Strong competency in distributed systems, service design, performance optimization, and reliability engineering.
- Experience in building products using micro-services oriented architecture and extensible REST APIs
- Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
- Knowledge of developer tooling across the software development life cycle(task management, source code, building, deployment, operations, real-time communication)
- Ability to excel in a fast-paced, startup-like environment
Experience:- 10+ years of professional software development experience with C#, Java, GO, Python or any object-oriented programming language, and 2+ years of experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures.
- 8+ years of experience with architecture and design.
- 6+ years of experience in open-source frameworks.
- 4+ 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$130,000.00 - $260,000.00
The 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.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
