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Low Code AI Engineer

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-02-10
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 USD Yearly USD 130000.00 YEAR
Job Description & How to Apply Below

Overview

Job Title: Low Code AI Engineer
Company: RIVA Solutions Inc.
Location: Reston, VA

Salary: $130K/yr
Job Type: Full-time
Benefits: Medical, Dental, Vision, Life, Retirement, PTO

Posted: 14 hours ago

Job Details

Location note: Remote within the United States

Travel: 0–10%

Responsibilities
  • Develop AI/ML algorithms and predictive models supporting enterprise mission needs.
  • Preprocess, structure, and validate data to ensure accuracy and completeness for AI model inputs.
  • Scale prototypes into production-ready machine learning models.
  • Automate and orchestrate ML pipelines to support deployment and continuous integration.
  • Deploy, serve, monitor, and optimize ML systems in production environments.
  • Support the management and enhancement of new and existing AI models and pipelines.
  • Apply low-code and configuration-first development approaches to accelerate delivery.
  • Document model workflows, pipelines, and technical implementation details.
  • Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum environments.
  • Stay informed on emerging AI tools, technologies, and best practices to improve solution quality and scalability.
Minimum Qualifications
  • Bachelor’s degree or equivalent professional experience.
  • Minimum 2 years of experience in artificial intelligence, machine learning, data engineering, or related fields.
  • Experience building, training, evaluating, and deploying ML models.
  • Familiarity with low-code AI development frameworks, workflow automation, or MLOps tools.
  • Experience with data preprocessing, feature engineering, and model tuning.
  • Strong analytical and problem-solving skills.
  • U.S. Citizenship required.
  • Ability to obtain and maintain a Federal Public Trust investigation.
Preferred Qualifications
  • Experience supporting federal government or public-sector technology programs.
  • Familiarity with cloud-native AI services (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Exposure to MLOps pipelines, CI/CD processes, or ML service deployment.
  • Experience with deep learning, NLP, time-series modeling, or other advanced ML techniques.
  • Certifications in AI/ML, cloud engineering, or data analytics are a plus.
Benefits
  • Paid Time Off / Sick Leave
  • Health, Dental, and Vision Coverage
  • Life Insurance
  • Retirement Benefits / 401K with company matching
  • HSA/FSA Spending Accounts
  • Long- and Short-term Disability
  • Pet Insurance
  • Wellness Program Initiatives
  • RIVA Flex
  • Additional Workplace Benefits
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