AI and Data Engineer; DC Area

AI and Data Engineer (DC Area)

Reingold, Inc. is hiring an AI and Data Engineer in the Washington, DC area. This hybrid role requires at least two days per week on site at Reingold’s headquarters in Alexandria, VA, or our office in Raleigh, NC.

Reingold is a full‑service marketing and creative firm in Alexandria, VA. For more than 40 years, we have helped organizations—whether in the government, nonprofit, or business sector—make the world a better place. We hire top‑notch talent to develop and launch compelling, inventive communications campaigns, leveraging the latest technology and digital media strategies that enable our clients to meet their audiences where they are.

• Design, build, and maintain conversational AI solutions using cloud services (e.g., Google Cloud Vertex AI, AWS Bedrock, Azure Cognitive Services) and chatbot frameworks such as Dialogflow CX, integrating them with relevant data sources.
• Research and identify opportunities for AI integration in internal processes and client‑facing products; evaluate model performance and recommend improvements based on data analysis.
• Design and prototype AI‑powered tools and workflows using Python and libraries such as Hugging Face Transformers, Lang Chain, or OpenAI APIs, including fine‑tuning or customizing existing models for specific business needs.
• Collaborate with development teams to integrate, manage, and secure a suite of cloud APIs and services (e.g., search/discovery engines, object storage, and large‑scale data analytics platforms) to ensure efficient data flow.
• Develop and manage API proxies, security policies, and integration pipelines between backend services and client‑facing applications.
• Maintain documentation for scripts, workflows, integrations, and proof‑of‑concept applications aligned with operational standards.
• Stay current with emerging AI/ML frameworks, APIs, and techniques in cloud and AI ecosystems.
• Perform ad hoc technical tasks as needed, based on evolving priorities and your skills.

• Active Public Trust clearance or ability to obtain one.
• Bachelor’s degree in computer science, engineering, web development, data science, or a related field— or equivalent formal training in AI/ML or software engineering through an accredited program or immersive training.
• Experience designing, building, and tuning chatbots or virtual agents (e.g., Dialogflow CX, AWS Lex, Azure Bot Service), integrating them with data sources, and deploying within major cloud platforms.
• Strong Python programming skills, including use of libraries such as pandas, numpy, transformers, and tools for API integration or workflow automation.
• Familiarity with building, integrating, or customizing AI/ML models using frameworks and APIs (e.g., OpenAI API, Hugging Face, Lang Chain, Tensor Flow, or PyTorch).
• Understanding of NLP fundamentals such as tokenization, embeddings, retrieval augmented generation (RAG), and fine‑tuning.
• Proficiency with version control (Git) and effective collaboration in team‑based development environments.
• Understanding of cloud administration fundamentals— including networking, IAM, and security best practices.
• Ability to quickly learn new tools and independently implement functional prototypes.
• Ability to work independently with minimal oversight while adapting to shifting priorities.

• Familiarity with managing APIs through an API gateway, including setting up proxies and authentication policies.
• Experience working with Google Cloud Platform AI and data services such as Vertex Search, Dialog Flow, and Big Query.
• Excellent problem‑solving instincts and a curiosity‑driven mindset, especially around performance, reliability, and automation.
• Strong communication skills and the ability to collaborate effectively with developers, engineers, project managers, leadership, and clients.

This position will not have direct reports but will be expected to mentor junior teammates and to lead by example and influence.

Prolonged periods sitting at a desk and working on a computer.

Reingold…