Toyota North America · 1 day ago
Principal Gen AI Engineer
Plano, TX
Full-time
Onsite
Lead/Staff
10+ years expToyota North America is a leading brand in the automotive industry, known for its innovative solutions in mobility. They are seeking a Principal Gen AI Engineer to design secure and scalable applications focused on AI technologies, collaborating with various teams to deliver effective GenAI solutions.
Manufacturing
No H1B
Responsibilities
Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG)
Fine-tune foundation models using domain-specific data
Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF)
Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools
Implement responsible AI practices including bias detection, hallucination mitigation, and explainability
Monitor and optimize model performance, latency, and cost
Use techniques like quantization, distillation, and caching to improve efficiency
Stay ahead of GenAI trends and emerging technologies
Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.)
Ensure compliance with data privacy, security, and regulatory standards
Evaluate and select appropriate model types (open-source vs proprietary) based on business needs
Lead hands-on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies
Make informed architectural trade-offs based on business needs, performance, cost, and long-term maintainability
Contribute reusable patterns and documentation that support solution delivery across teams
Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling
Qualification
Required
10+ years of software engineering and development experience
Proven experience in building and deploying GenAI applications in production
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face, etc.)
Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate)
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC
Knowledge of prompt engineering, few-shot learning, and agent-based systems
Hands-on experience designing and building cloud-native solutions (preferably on AWS)
Experience with modern architecture styles: microservices, APIs, event-driven systems
Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders
Preferred
Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
AWS AI certification
Financial Services experience
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
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)
Company
Toyota North America
At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$4.5MKey Investors
ARPA-E
2024-12-18Grant· $4.5M
Leadership Team
Tetsuo Ogawa
CEO
Brian Kursar
Group Vice President - Head of Enterprise AI
Recent News
Morningstar.com
2026-01-05
2026-01-05
Company data provided by crunchbase