AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... onsite full time. • US citizenship required. • Senior Labor Category: Minimum 8 years of ...
Closure Technologies
3 Closure Technologies Full Time Jobs Hiring Near You
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... onsite full time. • US citizenship required. • Senior Labor Category: Minimum 8 years of ...
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... onsite full time. • US citizenship required. • Senior Labor Category: Minimum 8 years of ...
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... onsite full time. • US citizenship required. • Senior Labor Category: Minimum 8 years of ...
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Willingness to work onsite full time. * US citizenship required. * Senior Labor Category: Minimum 8 ...
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Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Willingness to work onsite full time. * US citizenship required. * Senior Labor Category: Minimum 8 ...
Closure Technologies Jobs Information
What are the key skills and qualifications needed to thrive as a Full-Time Employee, and why are they important?
To thrive as a full-time employee, you need a strong work ethic, time management skills, and relevant job-specific qualifications or education. Familiarity with industry-standard tools, productivity software, or certifications related to your role is often expected. Reliability, adaptability, and effective communication are critical soft skills that help you excel in team environments. These skills and qualities are important for consistently meeting job expectations, contributing to organizational goals, and advancing your career.
What are some common challenges professionals face when transitioning to a full-time role from part-time or contract work?
Transitioning to a full-time position often involves adapting to a more structured schedule, increased workload, and higher expectations for long-term commitment and team collaboration. Full-time roles typically require deeper integration into company culture and more involvement in ongoing projects, which can be a significant adjustment for those used to flexible or project-based work. Additionally, full-time employees may encounter new responsibilities such as regular meetings, performance reviews, and opportunities for professional development within the organization.
What does it mean to work a full-time job?
A full-time job typically refers to a position where an employee works a standard number of hours set by their employer, usually around 35 to 40 hours per week. Full-time employees often receive benefits such as health insurance, paid time off, and retirement plan options, which may not be available to part-time workers. The exact definition of full-time can vary by company and country, but it generally signifies a long-term, regular commitment to the employer.
What is the difference between Full Time vs Part Time?
| Aspect | Full Time | Part Time |
|---|---|---|
| Work Hours | Typically 35-40 hours per week | Less than 30 hours per week |
| Benefits | Usually includes health insurance, paid leave, retirement plans | Limited or no benefits |
| Job Security | Generally higher | Less job security |
| Work Environment | Consistent schedule, full integration into company | Flexible schedule, often separate from full-time staff |
Full Time jobs involve working standard hours with benefits and greater job security, while Part Time roles offer more flexibility with fewer benefits. The choice depends on your work-life balance needs and career goals.
Full-time
Posted 8 days ago
Job description
Job Summary:
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications. The role involves supporting API development and optimizing data storage through Postgres schema refinement.
Responsibilities:
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Integrate LLMs into applications using available APIs and frameworks.
• Develop and maintain REST API interactions to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.
Qualifications:
Required:
• Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
• Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
• Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
• Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
• Active/current TS/SCI with required polygraph.
• Willingness to work onsite full time.
• US citizenship required.
• Senior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
Preferred:
• Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
• Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
• Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
• Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
• Experience designing and integrating REST APIs and scalable data architectures.
Company:
Closure Technologies offers big data, analytics, cloud infrastructure, software development, and cyber security services. Founded in 2015, the company is headquartered in Haymarket, USA, with a team of 11-50 employees. The company is currently Early Stage.
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications. The role involves supporting API development and optimizing data storage through Postgres schema refinement.
Responsibilities:
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Integrate LLMs into applications using available APIs and frameworks.
• Develop and maintain REST API interactions to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.
Qualifications:
Required:
• Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
• Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
• Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
• Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
• Active/current TS/SCI with required polygraph.
• Willingness to work onsite full time.
• US citizenship required.
• Senior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
Preferred:
• Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
• Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
• Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
• Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
• Experience designing and integrating REST APIs and scalable data architectures.
Company:
Closure Technologies offers big data, analytics, cloud infrastructure, software development, and cyber security services. Founded in 2015, the company is headquartered in Haymarket, USA, with a team of 11-50 employees. The company is currently Early Stage.