Senior Staff ML Engineer

Jobtailor; California (MO); On-site; USD 180,000 - 230,000; Full time

Job summary

GEICO seeks an experienced AI/ML architect to own the design, development, and maintenance of high-performance AI solutions that leverage agentic workflows for internal and customer-facing applications.

You will collaborate with data scientists, ML engineers, software engineers, product managers, and designers to define requirements, set roadmaps, and prioritize features while balancing business outcomes and release timelines.

Qualifications

• 8+ years designing and building scalable production AI/ML applications and systems in cloud environments.
• 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable AI/ML applications.
• 5+ years experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems.
• 5+ years experience managing the end-to-end software development life cycle (CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support) for Generative AI applications, backend systems, and APIs.
• Experience with frameworks to build LLM-based agentic workflows (LangSmith/LangGraph or similar).
• Experience with agentic communication standards (A2A, MCP, and similar) to design and build multi-agent applications.
• Proficient in Python, Java or similar general-purpose programming languages.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.

Responsibilities

• Own end-to-end design, development, and maintenance of high-performance AI solutions with agentic workflows.
• Collaborate with data scientists, ML engineers, software engineers, product managers, and designers to gather requirements and prioritize features.
• Establish technical visions and roadmaps balancing business outcomes and release timelines.
• Integrate and build solutions using GEICO’s AI platform architecture.
• Mentor and guide junior engineers through code reviews and design sessions.

Skills

AI/ML Systems Design

Cloud Environments

End-to-End SDLC

Python

Kubernetes

Education

Bachelor’s degree in Computer Science, Engineering, Statistics or related field

Tools

LangSmith

LangGraph

Kubernetes

CI/CD Tools

Job description

• Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications.
• Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
• Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
• Integrate and build solutions using GEICO’s AI platform architecture.
• Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
• Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
• Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
• Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
• Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.

Requirements

• 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
• 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
• 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
• 5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
• Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
• Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
• Proficient in Python, Java or similar general-purpose programming languages.
• Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.

Core Competencies

Demonstrates expertise in designing and building scalable AI/ML applications, with a strong focus on cloud environments and end-to-end software development life cycle management. Proficient in mentoring teams and driving technical alignment to deliver innovative solutions that meet business objectives.

Highest-signal resume keywords

• AI/ML Application Development
• Cloud Environments
• End-to-End Software Development Life Cycle
• Python Programming
• Kubernetes-Based Deployments

ATS Optimization Keywords

Hard Skills

• AI/ML Systems Design
• Scalable Production Applications
• Continuous Improvement
• Training and Finetuning Models
• Real-Time/Batch Inferencing
• CI/CD Pipelines
• Monitoring and Alerting
• APIs Development
• Frameworks for LLM-Based Workflows
• Agentic Communication Standards

Soft Skills

• Stakeholder Management
• Team Collaboration
• Mentoring
• Project Planning
• Resource Allocation

Industry Keywords

• Generative AI
• Multi-Agent Applications
• Business Value Delivery
• Technical Vision and Roadmaps
• Engineering Excellence

Tools & Technologies

• GEICO AI Platform Architecture
• LangSmith
• LangGraph
• Kubernetes
• CI/CD Tools