Job Specifications
Applied AI Engineer - Bellevue WA
The Organization
At USAFacts, we believe facts deserve to be heard. We are on a mission to provide a comprehensive and unbiased look at our country by the numbers. Democracy thrives on serious, reasoned, and informed debate. And we’re here for it.
Founded and funded by Steve Ballmer, former CEO of Microsoft, USAFacts answers questions around government spending and outcomes. While these are basic questions, finding the answers is hard. But it’s also pretty exciting. We pull together data from thousands of jurisdictions to normalize, contextualize, and visualize these metrics so the data is approachable and understandable.
Every day, we learn something about our country, how to make complex data understandable, and how to make the American people interested in the numbers. We’re a collaborative group and are always learning from each other, too. The team is mission driven, with no political agenda nor commercial incentive; we do this work purely as a public service.
Oh, and to top it off? USAFacts was named to Fast Company’s List of the World’s Most Innovative Companies for 2025! Learn more about us at usafacts.org and linkedin.com/company/usafacts.
We’d love for you to bring your talents and your curiosity to come make a difference!
The Opportunity
At USAFacts, we are committed to providing unbiased and transparent data about the United States. We are seeking an Applied AI engineer specializing in SOTA (state-of-the-art) Machine Learning
(ML)/AI models, with a strong emphasis on Large Language Models (LLMs) and frameworks like LangChain, to help us build real-world, customer-facing Generative AI applications based on government data.
The Applied AI Engineer will leverage pre-trained LLMs (such as OpenAI’s GPT series) and multi-agent orchestration frameworks to develop, deploy, and optimize AI-powered products and workflows. This role focuses on productizing generative AI capabilities for end users, using existing models to create efficient, accurate, and explainable experiences. An idea candidate will be familiar with platforms like Databricks and Azure, and have experience developing low-latency, high accurate agentic workflows and know how to measure, evaluate, and improve them.
Key Priorities & Responsibilities
Build and deploy scalable AI-powered applications in collaboration with senior engineers, contributing to design and architecture decisions over time.
Learn and contribute to prompt engineering strategies, with guidance on building agentic workflows, memory systems, and multi-step reasoning.
Integrate LLM-powered features into existing platforms and products, often via APIs, and ensure seamless user experiences.
Support the development and monitoring of evaluation and observability processes for AI systems, learning LLMOps practices in a hands-on environment.
Work with retrieval techniques (e.g., RAG, vector DBs like Azure AI Search, Chroma) for contextaware applications
Prototype, test, and optimize AI-powered applications, including retrieval-augmented generation, workflow automation, and agentic experiences.
Collaborate with cross-functional teams to align AI features with user needs and business goals, gaining exposure to product and platform thinking.
Stay current on advancements in AI technologies, frameworks, and best practices, and evangelize AI capabilities internally and externally.
Provide technical support, documentation, and training to facilitate adoption and effective use of AI solutions.
Participate in technical discussions, architecture reviews, and sprint planning.
Contribute to knowledge sharing and technical documentation.
Qualifications
Required Experience and Skills:
Proficiency in Python with hands-on experience building applications and APIs.
Strong interest and early exposure to LLMs and frameworks such as LangChain, LlamaIndex or similar.
Exposure to Evaluations and ML/AI Observability.
Familiarity with retrieval techniques (e.g., vector databases, RAG) is a plus.
Excellent problem-solving, communication, and teamwork skills, with the ability to explain complex AI concepts to non-technical stakeholders.
Bachelor’s Degree in Computer Science, Engineering, or a related field
Preferred Experience and Skills:
Proven engineering background with over 5 years of experience, including 2+ years focused on AI/ML systems
Advanced Degree in Computer Science, Engineering, or a related field
Compensation & Benefits
Compensation
The starting cash compensation range for the Applied AI Engineer role in Bellevue includes a hiring base salary range of $127,000 to $160,000, plus a 10% performance bonus target opportunity.
The base salary maximum for the role is $191,700 per year. Individual pay increases are assessed annually based on multiple factors such as demonstrated skill in the role and context, progress and performance against goals, and increased experience.
Featured Benefits & Perks
Medical, dental, and vision insurance with