Toyota North America
Magnit Direct Sourcing on behalf of Toyota is hiring for a Senior Fullstack Gen AI Engineer for a temporary assignment in Plano, TX.
This position is a 6-12 month contract assignment. Pay range: $100.00/hr - $110.00/Hr. Benefits: Medical, Dental, Vision, 401K.
Who we are We are collaborative, respectful, and a place to dream and do. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to dream, grow, and do with us.
What we’re looking for Toyota Financial Services seeks a Senior GenAI Engineer to design secure, scalable, and modern GenAI applications. This senior-level individual contributor role focuses on hands‑on solution designs, proofs of concept, and delivering innovative ideas to life.
What you’ll be doing
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).
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 for 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 cloud services, architecture frameworks, and GenAI tooling.
Qualifications / What you bring (Must Haves)
10+ years of software engineering and development experience.
Proven experience building and deploying GenAI applications in production.
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face).
Deep understanding of LLMs, embeddings, and 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 cloud‑native microservices, APIs, and event‑driven systems.
Strong ability to articulate technical solutions, trade‑offs, and system behavior to technical and non‑technical stakeholders.
Preferred (Advanced Experience)
Exposure to GenAI tools and frameworks (LangChain, Bedrock, vector databases, prompt orchestration).
Familiarity with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Lex).
AWS AI certification.
Financial Services experience.
Magnit is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Work Authorization: Green Card, US Citizen. Travel required: No. Shift timing: 9 AM to 5 PM.
Seniority level Mid‑Senior level
Employment type Contract
Job function Engineering and Information Technology
Industries Motor Vehicle Manufacturing
Get notified about new Artificial Intelligence Engineer jobs in Plano, TX.
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This position is a 6-12 month contract assignment. Pay range: $100.00/hr - $110.00/Hr. Benefits: Medical, Dental, Vision, 401K.
Who we are We are collaborative, respectful, and a place to dream and do. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to dream, grow, and do with us.
What we’re looking for Toyota Financial Services seeks a Senior GenAI Engineer to design secure, scalable, and modern GenAI applications. This senior-level individual contributor role focuses on hands‑on solution designs, proofs of concept, and delivering innovative ideas to life.
What you’ll be doing
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).
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 for 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 cloud services, architecture frameworks, and GenAI tooling.
Qualifications / What you bring (Must Haves)
10+ years of software engineering and development experience.
Proven experience building and deploying GenAI applications in production.
Strong programming skills in Python and familiarity with GenAI libraries (Transformers, LangChain, Hugging Face).
Deep understanding of LLMs, embeddings, and 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 cloud‑native microservices, APIs, and event‑driven systems.
Strong ability to articulate technical solutions, trade‑offs, and system behavior to technical and non‑technical stakeholders.
Preferred (Advanced Experience)
Exposure to GenAI tools and frameworks (LangChain, Bedrock, vector databases, prompt orchestration).
Familiarity with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Lex).
AWS AI certification.
Financial Services experience.
Magnit is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Work Authorization: Green Card, US Citizen. Travel required: No. Shift timing: 9 AM to 5 PM.
Seniority level Mid‑Senior level
Employment type Contract
Job function Engineering and Information Technology
Industries Motor Vehicle Manufacturing
Get notified about new Artificial Intelligence Engineer jobs in Plano, TX.
#J-18808-Ljbffr