OverviewWho we're looking forToyota 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.
What you'll be doing- 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.
What you bring- 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.
Added bonus if you have- 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).
What we'll bringDuring your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
- 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).
