Senior Machine Learning Engineer - AI Agent Platform

Geico Insurance•Palo Alto, CA

55d•$115,000 - $230,000

About The Position

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Description GEICO is seeking an experienced Sr ML engineer to join our AI org. This person will play key roles for the development of Geico's virtual assistant platform that elevates the productivity for 30K+ internal associates and the customer experience for millions of policyholders. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure productivity, scalability and usability of GenAI workflows across Geico. AI Agent Platform Engineers are responsible for building key multi-tenant services that power the building, testing, simulation, deployment and hosting of LLM-based agents. The ideal candidate should demonstrate a proven track record of building high performance AI/ML platform & systems, with hands-on experience and deep enthusiasm for Generative AI and related ecosystems.

Requirements

5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
4+ years of experience designing and building AIML platform and systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), memory management (e.g. Redis), etc.
3+ years' experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
3+ years' experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field

Nice To Haves

3+ years' experience with cloud providers such as Azure and AWS
2+ years' experience building conversational experiences and agentic workflows, leveraging open source LLMs, e.g. Llama, Mistral, Claude etc.
Experience with LLM observability software such as Langsmith, Arize Phoenix, etc.
Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments

Responsibilities

Own design, development and maintenance of high-performance, durable and scalable platform components that jointly power large sets of end-to-end GenAI agentic workflows. Examples include AI agent building & deployment, prompt management, workflow orchestration, MCP registry, etc.
Contribute to the selection, evaluation, and implementation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

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.

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