Principal AI Engineer

Location: Dallas, Texas; hybrid role with onsite customer interfacing

Base salary: $175,000–$200,000 per year

Company

hirify.global is an AI cloud platform company developing open-source and enterprise AI solutions, including agentic AI, predictive AI, and generative AI for private and regulated data.

What you will do

• Lead end-to-end technical engagements with enterprise customers, including delivery quality, stakeholder relationships, workplans, 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.
• Implement guardrails, evaluation frameworks, and responsible AI controls for reliable and safe production deployments.
• Own AI application development from problem framing and data exploration through model development, API integration, and production deployment.
• Build backend services, REST APIs, ML pipelines, and LLMOps infrastructure for cloud, on-premise, and hybrid customer environments.
• Coordinate cross-functional delivery, review architecture and engineering outputs, mentor 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 managing concurrent workstreams.
• Experience building LLM-powered applications, including RAG pipelines, agentic workflows, or fine-tuned models.
• Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn, plus LLM tooling such as LangChain or LlamaIndex.
• Experience deploying AI services in AWS, Azure, GCP, on-premise Kubernetes, or similar enterprise environments.
• Strong knowledge of GenAI, classical ML, REST APIs, Docker/Kubernetes, CI/CD, model evaluation, guardrails, and LLMOps.

Nice to have

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

Culture & Benefits

• Remote-friendly culture and flexible working environment.
• Career growth opportunities.
• Market-leading total rewards.
• Work with AI, machine learning, and data science experts, including Kaggle Grandmasters.
• Focus on responsible AI and an AI for Good mission.