AI Platform Engineer

Location: Hybrid in Addison, TX, US, with other listed locations in San Diego, Denver, Sacramento, Boston, Chicago, Royal Oak, and San Francisco.

Salary: $120,000–$170,000 annually.

Company

hirify.global is a national integrated architecture and engineering practice advancing AI-enabled knowledge, workflows, and delivery outcomes.

What you will do

• Develop and maintain model benchmarks, evaluation datasets, testing methods, and performance baselines for production AI applications.
• Evaluate models, prompts, and configurations for quality, reliability, cost, latency, and risk; document findings and recommend improvements.
• Develop and optimize RAG, retrieval ranking, prompt structures, context management, and caching.
• Deliver AI use cases from requirements and design through implementation, testing, documentation, adoption, and improvement.
• Build structured data models, skills taxonomies, and knowledge-capture workflows, partnering with data engineering on governed datasets.
• Contribute to architecture discussions, coding standards, automated testing, CI/CD, code reviews, and evaluation of emerging generative AI and agentic technologies.

Requirements

• Approximately 4–6+ years of experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
• Hands-on experience developing, deploying, or supporting LLM applications in production.
• Experience implementing AI evaluations, benchmarks, or performance testing.
• Working knowledge of RAG, information retrieval, prompt engineering, and context optimization.
• Proficiency in Python, SQL, Git, automated testing, and modern software development practices.
• Experience with cloud applications, APIs, and data integration workflows.
• Understanding of enterprise data governance, privacy, and security.
• Ability to independently deliver complex technical assignments and communicate effectively with technical and nontechnical stakeholders.

Nice to have

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
• Experience with Azure OpenAI, Amazon Bedrock, Anthropic, or comparable AI platforms.
• Familiarity with Databricks, Delta Lake, Unity Catalog, MLflow, or similar platforms.
• Experience with AI agents, automated workflows, experiment tracking, or multi-model systems.

Culture & Benefits

• Hybrid work model with autonomy, work-from-home flexibility, and regular in-office days.
• Professional open-space office supporting collaborative and independent work.
• Culture focused on continual learning, collective growth, integrity, and inclusion.
• Role includes communication through writing, phone, video conferencing, and in-person collaboration.
• Work involves prolonged periods of desk and computer use and requires visual acuity.