Senior AI Engineer (AI)

Location: San Francisco, Bay Area, United States; hybrid role

Company

hirify.global is an AI cloud platform company developing open-source and enterprise solutions that combine generative and predictive AI for private-data applications.

What you will do

• Lead end-to-end technical engagements with enterprise customers, including delivery quality, stakeholder relationships, milestones, and technical escalations.
• Design and build agentic AI systems, multi-agent frameworks, and LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use.
• Develop AI applications across the full lifecycle, from problem framing and data exploration through model development, API integration, and production deployment.
• Build scalable backend services, REST APIs, ML pipelines, and LLMOps infrastructure for continuous model improvement and production monitoring.
• Integrate AI solutions into cloud, on-premises, and hybrid customer environments with attention to performance, stability, and maintainability.
• Coordinate engineers, program managers, and solution architects; review outputs, shape architecture decisions, mentor junior engineers, and provide customer feedback to product and engineering teams.

Requirements

• 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.
• Experience leading complex, multi-stakeholder enterprise technical engagements and coordinating concurrent workstreams.
• Experience building LLM-powered applications, including RAG pipelines, agentic workflows, fine-tuned models, or equivalent solutions.
• Strong Python skills and experience with PyTorch, TensorFlow, scikit-learn, and LLM tooling such as LangChain or LlamaIndex.
• Experience deploying AI services in AWS, Azure, GCP, or on-premises Kubernetes environments.
• Knowledge of prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, LLMOps, REST APIs, Docker/Kubernetes, and CI/CD.

Nice to have

• Kaggle or competitive machine learning experience.
• Familiarity with hirify.global products, Wave, or H2O Document AI.
• Experience deploying AI in financial services, healthcare, or other regulated industries.
• Exposure to tabular foundation models, AutoML, or enterprise ML platforms.
• Prior customer-facing or field engineering experience.

Culture & Benefits

• Remote-friendly culture with a flexible working environment.
• Career growth opportunities and participation in a world-class AI team.
• Market-leading total rewards.
• Commitment to diversity, inclusion, and responsible AI.