AI Engineer II

McCarthy Holdings, Inc. is hiring a full-time AI Engineer II in Dallas, TX to design, build, and support AI-powered applications and workflows across the enterprise.

Responsibilities

• Design, develop, test, and maintain AI-powered applications, services, and workflows for enterprise business processes.
• Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks.
• Develop and maintain data pipelines, integrations, and reusable data products enabling AI and analytics use cases.
• Contribute to data model and ontology design and evolution for operational and analytical workflows.
• Develop and optimize prompts, retrieval strategies, and agent workflows to improve effectiveness, reliability, and user experience.
• Use AI-assisted development tools and coding copilots to accelerate delivery while maintaining code quality, testing, security, and maintainability.
• Participate in MLOps and PromptOps, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems.
• Collaborate with business and technical stakeholders to translate business requirements into practical technical solutions.
• Support production AI solutions through troubleshooting, performance tuning, monitoring, and ongoing enhancement.
• Contribute to documentation, reusable patterns, and engineering best practices to improve team consistency and effectiveness.
• Follow established AI governance, security, and Responsible AI standards throughout the solution lifecycle.

Requirements

• Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent practical experience).
• Experience building and deploying AI-enabled applications or machine learning solutions in production environments.
• Strong programming skills in Python and experience with modern software engineering practices.
• Experience with data pipelines, ETL/ELT processes, and API-based integrations.
• SQL and relational data modeling experience.
• Cloud platform experience: Azure, AWS, or GCP.
• Familiarity with containerized and serverless deployment patterns.
• Experience building solutions on enterprise AI and data platforms: Palantir Foundry, Azure AI, AWS, GCP, or Dataiku.
• Generative AI platforms and frameworks: OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar technologies.
• Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns.

Position Summary

• Full-time role on the Engineering and Intelligence team.
• Hands-on engineering focused on implementation, experimentation, deployment, and continuous improvement of AI capabilities.
• Work with the AI Manager, business stakeholders, and fellow engineers to deliver production-grade AI solutions, including generative AI, agentic workflows, advanced analytics, and enterprise integrations.
• Strongly preferred experience working within Palantir Foundry, including ontology-driven development, data products, operational workflows, and AI-enabled solutions.

Strongly Preferred Palantir Foundry Experience

• Ontology-driven application development
• AIP and AI-enabled workflows
• Data products and pipeline development
• Workshop applications and operational workflows
• Code repositories and software delivery within Foundry environments
• Responsible AI concepts, including transparency, human oversight, security, and governance practices

Technologies

• Python
• Azure
• AWS
• GCP
• Palantir Foundry
• Azure AI
• Dataiku
• OpenAI
• Anthropic
• LangChain
• LlamaIndex
• Hugging Face

Location

• Dallas, TX (onsite)