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GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. 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.
Job Responsibility:
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
Requirements:
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
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
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience
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