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.