Principal AI Engineer

Location: Dallas, Texas; onsite customer interfacing required

Company

hirify.global is an AI cloud platform company developing open-source and enterprise AI solutions, including generative and predictive AI applications.

What you will do

• Lead end-to-end technical engagements with enterprise customers, including delivery quality, stakeholder relationships, workplans, milestones, and 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 improvement and production monitoring.
• Integrate AI models into cloud, on-premises, and hybrid customer environments while ensuring performance, stability, and maintainability.
• Coordinate engineers, program managers, and solution architects; review architecture and outputs; mentor junior ML and solution engineers; and communicate with executive stakeholders.

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 engagements and coordinating concurrent cross-functional workstreams.
• Experience building LLM-powered applications, including RAG pipelines, agentic workflows, or fine-tuned models.
• Strong Python skills with experience in PyTorch, TensorFlow, scikit-learn, and LLM tooling such as LangChain or LlamaIndex.
• Experience deploying AI services in AWS, Azure, GCP, on-premises environments, or Kubernetes.
• 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, enterprise ML platforms, or customer-facing field engineering.

Culture & Benefits

• Remote-friendly culture and flexible working environment.
• Total rewards and career growth opportunities.
• Work with AI and machine learning practitioners, including Kaggle Grandmasters.
• Inclusive culture and an AI for Good focus.