Senior Machine Learning Engineer – AI Agent Platform

GEICO

full-time

Posted on: 9/21/2025

Origin: • 🇺🇸 United States • California, New York

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💰 $115,000 - $230,000 per year

Senior

AirflowAWSAzureCassandraCloudJavaKafkaKubernetesMongoDBOpen SourcePostgresPythonRayRedisSDLCSpark

About the role

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

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 (elastic search, Qdrant, Snowflake, Kafka, PostgreSQL, MongoDB, Cassandra, Spark, Ray, Airflow, Temporal, Redis).
3+ years’ experience managing end-to-end software development life cycle (version control, CI/CD pipelines, Kubernetes, testing, monitoring & alerting, production support).
3+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, especially utilizing GPU-powered infrastructure.
Bachelor’s degree or above in Computer Science, Engineering, Statistics or related field.
Experience with cloud providers such as Azure and AWS (preferred).
2+ years’ experience building conversational experiences and agentic workflows leveraging open source LLMs (Llama, Mistral, Claude) (preferred).
Experience with LLM observability software such as Langsmith, Arize Phoenix (preferred).
Experience building LLM-based AI agent workflows via no-code/low-code and traditional high-code environments (preferred).
Strong communication and problem-solving skills.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.