Toyota Financial Services is seeking a Senior GenAI Engineer to drive the design of secure, scalable, and modern applications, with a strong emphasis on AI and GenAI-enabling technologies to solve real business problems
Requirements
- 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
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
Other
- Green Card, US Citizen
- No travel required
- 9 AM to 5 PM shift timings
- 5 years of preferred years of experience
- Must have a strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders
