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Overnight Artificial Intelligence Testing Jobs in Reston, VA

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Overnight Artificial Intelligence Testing information

What is overnight artificial intelligence testing?

Overnight artificial intelligence testing refers to the process of running and evaluating AI models or software systems during nighttime hours, typically when regular operations are minimal. This allows for extensive automated tests, stress checks, and data processing without disrupting daytime business activities. Testers monitor results, identify errors or performance issues, and ensure the AI systems are functioning as intended before the next business day. This role often requires knowledge of both software testing practices and AI technologies.

How do I become an overnight artificial intelligence testing?

To work as an overnight artificial intelligence tester, you typically need a background in computer science, data analysis, or related fields, along with experience in machine learning and AI tools. Strong problem-solving skills, attention to detail, and familiarity with testing frameworks are essential, and some roles may require certifications in AI or software testing. The position often involves working night shifts or irregular hours to monitor and evaluate AI systems during off-peak times.

What is the difference between Overnight Artificial Intelligence Testing vs Data Scientist?

AspectOvernight Artificial Intelligence TestingData Scientist
CredentialsTypically requires knowledge of AI tools, programming, and testing protocolsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentPrimarily in labs or testing facilities, often overnight shiftsOffice or remote, with data analysis and modeling tasks
Industry UsageUsed in AI development, quality assurance, and validation processesApplied in data analysis, predictive modeling, and business insights

Overnight Artificial Intelligence Testing focuses on evaluating AI systems during overnight shifts, emphasizing testing protocols and quality assurance. Data Scientists analyze data, build models, and generate insights. While both roles involve technical skills, AI Testing is more specialized in validation processes, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive in overnight artificial intelligence testing, and why are they important?

To thrive as an Overnight Artificial Intelligence Tester, you need a solid understanding of AI concepts, software testing methodologies, and familiarity with programming languages like Python, typically supported by a degree in computer science or related field. Experience with test automation tools, version control systems (like Git), and bug tracking platforms is commonly required. Strong attention to detail, problem-solving abilities, and effective written communication are crucial soft skills for identifying issues and documenting test results. These skills ensure accurate, efficient, and reliable testing of AI systems during overnight shifts, maintaining product quality and meeting development timelines.

What are the typical challenges faced in overnight artificial intelligence testing, and how can they be managed?

Professionals working in Overnight Artificial Intelligence Testing often encounter challenges such as maintaining high attention to detail during late hours, managing unexpected system behaviors, and coordinating with day-shift teams for seamless issue resolution. To manage these challenges, it's important to establish clear communication protocols for handoffs, utilize monitoring tools to catch anomalies early, and follow structured testing procedures. Staying organized and taking scheduled breaks can also help maintain focus and productivity during overnight shifts.
What are the most commonly searched types of Artificial Intelligence Testing jobs in Reston, VA? The most popular types of Artificial Intelligence Testing jobs in Reston, VA are:
Overnight Artificial Intelligence Testing jobs near you

Software Engineer III, Artificial Intelligence

X Energy LLC

Rockville, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/. We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us.
Job Description
This role is responsible for contributing to X-energy's Artificial Intelligence (AI) Solutions Tiger Team that accelerates XE-100 nuclear reactor development workflows across business and engineering functions. Working under the leadership of the Artificial Intelligence function in a collaborative tiger team environment, this position requires expertise in at least one of the following areas: front-end development, agentic AI, data/systems integration, ML-Ops, or product management. The position will work closely with colleagues to rapidly develop and deploy AI solutions that enhance engineering productivity, knowledge management, and decision support across X-energy.
Job Profile Tasks/Responsibilities:
  • Work collaboratively in a tiger team environment to rapidly develop production-ready AI solutions.
  • Contribute to the design and implementation of autonomous AI systems that enhance XE-100 reactor development.
  • Document solutions and support knowledge transfer to relevant technical teams.
  • Implement and maintain development best practices and quality standards.
  • Perform work in accordance with X-energy quality assurance procedures.
  • Maintain professional demeanor and behavior at all times in all forms of communication.
  • Perform other duties as assigned by manager.
  • Perform additional duties based on area of assignment:
    • Front-end Development:
      • Design and implement user interfaces using React, TypeScript, Tailwind CSS, and Vite.
      • Develop full-stack solutions connecting frontend interfaces to AWS backend services.
      • Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.
      • Implement real-time communication through WebSockets and REST APIs.
      • Architect maintainable, scalable frontend solutions for technical applications.
      • Implement secure authentication and authorization systems for enterprise applications.
      • Create and maintain CI/CD pipelines for web applications.
    • Agentic AI:
      • Design and implement autonomous agent architectures using AWS Bedrock and related services.
      • Develop multi-turn agentic workflows optimized for engineering and business contexts.
      • Create systems for agent reasoning, planning, memory management, and tool calling.
      • Implement RAG and graph-RAG systems for enhanced knowledge retrieval.
      • Develop frameworks with LangChain, LangGraph, and AWS Strands for complex workflows.
      • Implement safety and alignment protocols for autonomous systems in engineering contexts.
      • Research and implement cutting-edge techniques in autonomous agent development.
    • Data & Systems Integration:
      • Design and implement AWS-based data lakes supporting AI workloads.
      • Develop ETL workflows using AWS Glue, Aurora, DynamoDB and related services.
      • Create data pipelines connecting engineering and business systems to AI platforms.
      • Design schemas and data models optimized for AI applications and agent access.
      • Create integration frameworks between different engineering platforms and data models.
      • Implement data warehousing solutions to support business intelligence.
      • Develop secure access patterns for sensitive engineering and corporate data.
    • ML - Ops:
      • Create automated deployment pipelines using modern CI/CD tools.
      • Develop monitoring systems for application performance and reliability.
      • Implement versioning and governance for code and dependencies using version control systems.
      • Design and maintain continuous integration workflows.
      • Establish cloud development lifecycle practices across platforms.
      • Create testing frameworks for validating system behavior in serverless environments.
      • Configure and optimize container orchestration services for application deployment.
    • Product Management:
      • Develop detailed technical specifications for AI products and solutions.
      • Create and maintain product roadmaps aligned with engineering needs.
      • Serve as technical liaison between development team and internal customers.
      • Define and track product metrics and success criteria.
      • Develop product strategy and positioning for AI solutions.
      • Create training materials and documentation for users.
      • Design go-to-market strategies for internal AI solution adoption.
      • Evaluate and select appropriate AWS services for solution architecture.
      • Develop AWS cost optimization strategies and resource planning.
      • Create integration strategies between AWS services and existing systems.
      • Design and document API specifications and technical requirements.
      • Create system architecture diagrams and technical documentation.
      • Develop technical prototypes and proof-of-concepts using appropriate frameworks.
      • Perform technical analysis of competing solutions and technologies.
      • Conduct technical reviews and code walkthroughs with engineering teams.
      • Implement performance testing methodologies and benchmarking strategies.
      • Create technical acceptance criteria for feature development.
      • Design data models and database schemas to support product features.
      • Develop technical migration plans for system upgrades.

Job Profile Minimum Qualifications:
  • Bachelor's degree in computer science, artificial intelligence, or related field from an accredited university or college.
  • Experience with Git, GitLab, CI/CD, and modern development workflows.
  • Proficiency with Jira, Confluence, and AI-enhanced development environments.
  • Experience working in collaborative, fast-paced development teams.
  • Strong communication skills and ability to explain complex technical concepts.
  • Additional qualifications based on assigned area:
    • Front-end Development:
      • Strong expertise in React, TypeScript, and modern JavaScript development.
      • Experience with Vite, Bun, and Tailwind CSS.
      • Proficiency in implementing WebSockets and REST APIs.
      • Background developing user interfaces for technical or engineering applications.
      • Experience with AWS services for web application deployment.
    • Agentic AI:
      • Deep expertise in modern large language models and agent architectures.
      • Experience implementing multi-turn agentic workflows.
      • Proficiency with RAG and graph-RAG implementations.
      • Experience with LangChain, LangGraph, AWS Strands, or similar frameworks.
      • Strong understanding of AWS AI services, particularly AWS Bedrock.
      • Background in developing AI systems for practical business applications.
    • Data & Systems Integration:
      • Strong experience designing and implementing data lakes and ETL processes.
      • Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
      • Background in integrating diverse systems and data sources.
      • Experience with API design and implementation.
      • Proficiency with data modeling and schema design for varied workloads.
      • Understanding of data security and governance best practices.
    • ML-Ops:
      • Background in deploying and monitoring applications in production environments.
      • Knowledge of versioning systems for code and dependencies.
      • Experience with continuous integration and DevOps tools.
      • Understanding of cloud development lifecycle practices.
      • Background in testing frameworks for systems.
      • Experience with cloud-based monitoring and alerting solutions.
      • Proficiency with cloud deployment services and containerization.
    • Product Management:
      • Experience in technical product management for software or AI products.
      • Background creating product roadmaps and specifications.
      • Experience serving as technical liaison with customers.
      • Knowledge of product metrics definition and tracking.
      • Understanding of go-to-market strategy development.
      • Experience creating training materials and documentation.
      • Familiarity with AWS service portfolio and selection strategies.
      • Experience with AWS solution architecture and cloud cost management.
      • Background in AWS integration planning for enterprise applications.
      • Proficiency in technical writing and API documentation.
      • Experience with system architecture design and diagramming tools.
      • Background in software development or programming.
      • Knowledge of database design and data modeling principles.
      • Experience creating technical prototypes or proof-of-concepts.
      • Understanding of software testing methodologies and performance benchmarking.
      • Background in system integration and technical requirements gathering.
      • Experience with technical acceptance testing and validation.

Position Level Minimum Qualifications:
  • Typically, five years of experience in a relevant role required.

Location: 530 Gaither Road, Rockville, MD.
Work Site Expectations: 3 days in office.
Travel Expectations: Up to 5% as needed.
Hours: 8:00am-5:00pm, Mon-Fri.
Compensation
As required by Maryland and other applicable state law, X Energy, LLC (X-energy) lists the expected compensation range for a publicly advertised job opportunity based upon the job requirements (e.g. education/training, experience, skill sets, etc.). Individual candidates who meet the job requirements for the posted position will be offered a salary within this range based on their respective levels of education/training, experience, and other qualifications unique to them. Salary ranges may vary based on the specific office location and region referenced in the posting to take into consideration differences in cost of living and may not be reflective of all regions. Please note that compensation ranges listed for US job postings reflect base salary only and do not include benefits or other incentives.
Offers within the posted salary range are commensurate with the individual's qualifications for the position, along with a view on internal equity, market data, and room for growth. The salary range for this position is:
$122,000- $180,000
Position Job Classification
Full time - Exempt
Benefits
X Energy, LLC offers a robust benefits package that includes a 401K plan with an employer match, Medical/Dental /Vision Insurance, Life and Disability Insurance, Paid Time Off, and a Tuition Reimbursement/Professional Development policy that supports the continuing education of our employees.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
X Energy, LLC participates in E-Verify. Please visit the links below for more information about E-Verify and the protection of your Right to Work.
Right To Work Link: If you have the right to work, don't let anyone take it away (e-verify.gov)
E-Verify Participation Link: E-Verify Participation Poster English and Spanish

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