AI/ML Platform Engineer

Toyota North America • Plano, TX

2d

About The Position

Toyota Financial Services Enterprise Platforms team is looking for a passionate and highly motivated AI/ML Platform Engineer. This role helps build and operate cloud-native platform capabilities that enable enterprise MLOps and LLMOps and support AI/ML and GenAI application delivery. You will contribute hands-on engineering across APIs, services, deployment pipelines, and platform automation, working closely with senior engineers, architecture, platform, data, and product teams. This is an early-career software engineering role for candidates with 1-3 years of professional experience who are eager to grow their skills and take ownership of features and services in production under the guidance of senior team members.

Requirements

• 2 or more years of professional software engineering experience.
• Bachelor's degree or higher in Computer Science, Computer Engineering, or a related technical field.
• Strong programming skills in one or more of the following: Python, or JavaScript/TypeScript.
• Experience building and operating cloud-based applications and services on AWS or similar cloud providers.
• Exposure to DevOps practices such as CI/CD pipelines, version control (Git/GitHub), containers (Docker), and automated deployments.
• Strong analytical, problem-solving, communication, and cross-team collaboration skills.
• Eagerness to learn AI/ML platform engineering and grow under mentorship.

Nice To Haves

• Hands-on exposure to AI/ML platform tools and patterns (MLOps/LLMOps fundamentals).
• Exposure to GenAI workloads such as RAG pipelines, embedding workflows, prompt orchestration, or model inference services.
• Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation).
• Familiarity with AWS AI/ML services (SageMaker, Bedrock).

Responsibilities

• Design, build, test, and maintain cloud-native platform components and services that support AI/ML and LLM workloads.
• Help implement and operate MLOps and LLMOps capabilities such as model deployment pipelines, monitoring, and operational reliability.
• Build integrations with AWS AI/ML services such as Amazon SageMaker and Amazon Bedrock, along with model registries, vector data stores, model endpoints, and orchestration tooling.
• Help build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation in collaboration with platform and DevOps engineering teams.
• Troubleshoot production issues, analyze system metrics, and support improvements for reliability, latency, and cost.
• Follow engineering standards for code quality, testing, documentation, and Agile delivery.
• Continuously learn evolving AI/ML platform technologies and engineering best practices.

Benefits

• A work environment built on teamwork, flexibility, and respect.
• Professional growth and development programs to help advance your career, as well as tuition reimbursement.
• Team Member Vehicle Purchase Discount.
• Toyota Team Member Lease Vehicle Program (if applicable).
• Comprehensive health care and wellness plans for your entire family.
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable).
• Paid holidays and paid time off.
• Referral services related to prenatal services, adoption, childcare, schools and more.
• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
• Relocation assistance (if applicable).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level