AI Engineer (Public Sector)

TL;DR

AI Engineer (Public Sector): Developing cutting-edge GenAI solutions and owning production rollouts of consumer and internally facing GenAI applications with an accent on incorporating the latest techniques from Mosaic AI Research. Focus on serving as a trusted technical advisor to customers across various domains and collaborating cross-functionally with product and engineering teams.

Location: Based in the Washington, D.C., Maryland, or Virginia metropolitan area to support periodic on-site work and client collaboration. Must be eligible to work in the United States. U.S. citizenship is a condition of employment and the ability to obtain and maintain a U.S. Government security clearance at the Top Secret level or higher.

Salary: $161,280—$225,792 USD

Company

hirify.global is the data and AI company, with more than 10,000 organizations worldwide relying on the hirify.global Data Intelligence Platform to unify and democratize data, analytics and AI.

What you will do

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.

Culture & Benefits

• Comprehensive benefits and perks to meet the needs of all employees.
• Committed to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.