Lead ML/AI Engineer

Location: Plano, Texas, United States

Company

hirify.global develops mobility solutions, with Toyota Financial Services delivering financial and insurance products for Toyota and Lexus customers.

What you will do

• Design, build, and maintain end-to-end ML pipelines covering data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
• Integrate large language models into product features using prompt engineering, retrieval-augmented generation, and agent-based patterns.
• Select and apply Amazon Bedrock, SageMaker, classical ML, or hybrid approaches for production use cases.
• Own ML features from technical design through deployment, testing, observability, and post-launch monitoring.
• Debug training, data, inference, latency, and model-drift issues while improving data quality and system reliability.
• Collaborate with Product, Data Science, and Front-End/Backend Engineering teams and mentor junior and mid-level engineers.

Requirements

• Must have the right to work in the United States without current or future visa or work authorization sponsorship.
• Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience, including 2–4 years focused on ML/AI in production.
• Strong Python skills and production experience with PyTorch, TensorFlow, or JAX, plus Hugging Face Transformers, scikit-learn, or XGBoost.
• Experience with LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and agent frameworks.
• Experience with AWS AI/ML services, MLOps, data engineering, infrastructure as code, and ML observability.

Nice to have

• Experience in financial services, banking, or insurance.
• Responsible AI experience, including fairness, bias detection, explainability, and model governance.
• Experience with NLP, real-time inference optimization, containerized ML workloads, computer vision, or multimodal systems.
• Familiarity with GraphQL, API gateway patterns, AWS certifications, or open-source ML projects.

Culture & Benefits

• Team-oriented, flexible, and respectful work environment.
• Professional development programs and tuition reimbursement.
• Comprehensive health care and wellness plans.
• 401(k) plan with company matching and an annual retirement contribution, where applicable.
• Paid holidays, paid time off, tax-advantaged accounts, and family support services.
• Vehicle purchase and lease programs, plus relocation assistance where applicable.