Staff AI Engineer
General Motors
KerasPyTorchTensorflow
Senior Machine Learning Engineer – Agent Engineering
GEICO
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, Maryland, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $230,000 per year
Job Level
Senior
Tech Stack
AirflowAWSAzureCassandraCloudJavaKafkaNoSQLPostgresPythonRaySparkTypeScript
About the role
- Own design, development and maintenance of high-performance AI solutions that utilizes agentic workflows to deliver concrete business value for internal stakeholders.
- Examples include knowledge assistants, document processing copilots, voice agents, etc.
- Contribute to the selection, evaluation, and implementation of software technologies, 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 project planning, ensuring the efficient allocation of resources and timely delivery of solutions.
- Guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.
Requirements
- 5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, TypeScript, etc.
- 4+ years of experience architecting, building & deploying end-to-end AI solutions 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. Cassandra), distributed processing (e.g. Spark, Ray), workflow orchestration (e.g. Airflow, Temporal), etc.
- 3+ years’ experience managing end-to-end solution development life cycle, esp. Measurement and monitoring of operations metrics, analytical insights and business outcomes via dashboards and other tools.
- Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
- 4+ years’ experience interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives (preferred).
- 3+ years’ experience with cloud providers such as Azure and AWS (preferred).
- 2+ years’ experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments (preferred).
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
JavaC++PythonTypeScriptAI solutionsend-to-end solution developmentdata analysisLLM-based AI agent workflowscloud-agnostic componentsworkflow orchestration
Soft skills
collaborationproject planningresource allocationteam leadershipcommunicationtechnical visionroadmap establishmentcode reviewsdesign sessionsstakeholder engagement
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Statistics
