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AI and Data Engineer; DC or Raleigh

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: Reingold, Inc.
Full Time position
Listed on 2025-11-13
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: AI and Data Engineer (DC or Raleigh)

Join to apply for the AI and Data Engineer (DC or Raleigh) role at Reingold, Inc.

Reingold is a full‑service marketing and creative firm in Alexandria, VA. For more than 40 years we have helped organizations in the government, nonprofit and business sectors make the world a better place by developing and launching innovative communication campaigns powered by the latest technology and digital media strategies.

We are proud of our curious, passionate team—from marketers and tech wizards to designers and strategists—who bring their A‑game every day, collaborate across disciplines, and keep a sense of humor and fun in what we do.

We offer competitive salaries, a comprehensive benefits package, a hybrid work environment, and growth opportunities in many specialty areas. We hire talent that stays long term.

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.

Essential Functions
  • Design, build, and maintain conversational AI solutions using cloud services such as Google Cloud Vertex AI, AWS Bedrock, Azure Cognitive Services, and chatbot frameworks like 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 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, 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.

This job description is not an exhaustive list of activities. Duties may change or new ones may be assigned at any time.

Required Qualifications
  • US government 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.
  • 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 such as OpenAI, 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.
Preferred Qualifications
  • 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,…
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