Apex Systems
Full-Stack Software Engineer Sr.
Apex Systems, Chesapeake, Virginia, United States, 23322
*** CANDIDATES MUST BE USC WITH DoD CLEARANCE AND CERTS TO BE CONSIDERED***Title:
.NETFull-Stack Software Engineer (AI)Location: 100% Remote6 month contract to full time hirePay on contract (first 6 months): $70.00 - $95.00 / hourly rate
(Pay based on years of experience, clearance, and certifications)Salary Conversion after 6 months on contractAPPLY HERE: If you meet a minimum of the top 3 requirements please email your resume and details to [email protected]Required Qualifications:
Must have Active DoD Secret ClearanceMust have CompTIA Security+ certification (or equivalent)5+ years of relevant experience as Full Stack Developer in NET (C#), ASP.NET, JavaScript, Node, React, Python, MS SQL Server4+ years of experience performing generative AI tasks (script generation, generative models)AWS based development experience supporting AI/ML workloadsFamiliarity with unlabeled datasets and applicable machine learning processes (self - supervised learning, semi-supervised and meta-learning)Experience with nondeep learning techniques in a supervised setting (support vector machines, decision trees, KNN, and random forests).Experience with non-deep learning techniques in an unsupervised setting (K-means, DBSCAN, Hierarchical clustering, T-SNE).Experience developing solutions leveraging large language models (LLMs) and Retrieval Augmented Generation (RAG) workflowsExperience with bug tracking systems (GitLab, GitHub, Jira, Azure DevOps)Experience with version control systems (Git preferred)Desired Qualifications:
Experience developing in an Agile environment, leveraging Scrum and/or KanbanExperience development business systems for the Department of Defense, specifically the US NavyExperience building responsive web applications suitable for use on Mobile devicesExperience implementing and configuring CI/CD pipelines (Azure DevOps, Sonar Qube, Nexus Repository Manager, Nexus IQ)Experience managing software deployed to a production environment (IIS, MS SQL Server)Knowledge of AI/ML algorithms, or an ability to learn and understand existing implementationsKnowledge of Generative AI and common development patterns, tools, and techniques, including Vector Stores, Large Language Models, and Prompt EngineeringDuties and Responsibilities:
Participate and own end - to - end iterative design, development, and testing, and deployment of capabilities within the Navy Reserve portfolio of business systems.Work with analysts, stakeholders, and other engineers to understand, define, and improve requirements.Maintain a pulse on development roadmaps and emerging technologies to advance those employed by the teamPromotes team growth through a variety of mechanisms, including mentoring, code reviews, educational and inspirational articles, commentary, and talks.Advise leadership and team on complexity reduction in projects, products, services, systems, and process. Recognize and demonstrate the ability to make decisions based on risk and return on-investment.Produce, test and perform on going evaluation of deployable ML models that can operate in near real time and provide enhanced and automated outputs to the Navy Reserve community.Conduct exploratory data analysis on large, raw and highly dimensional pre-existing datasets, apply data visualization, normalization and data mining methods to extract usable data from possibly noisy datasets.Become a resident expert in all technologies within the full stack, including but not limited to .NET, JavaScript, React, and subordinate technologies/frameworks, with a particular focus on AI/ML capabilities/tools/techniques.Promote a culture founded on agile development with high development standards
#clearance #cleared
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.
.NETFull-Stack Software Engineer (AI)Location: 100% Remote6 month contract to full time hirePay on contract (first 6 months): $70.00 - $95.00 / hourly rate
(Pay based on years of experience, clearance, and certifications)Salary Conversion after 6 months on contractAPPLY HERE: If you meet a minimum of the top 3 requirements please email your resume and details to [email protected]Required Qualifications:
Must have Active DoD Secret ClearanceMust have CompTIA Security+ certification (or equivalent)5+ years of relevant experience as Full Stack Developer in NET (C#), ASP.NET, JavaScript, Node, React, Python, MS SQL Server4+ years of experience performing generative AI tasks (script generation, generative models)AWS based development experience supporting AI/ML workloadsFamiliarity with unlabeled datasets and applicable machine learning processes (self - supervised learning, semi-supervised and meta-learning)Experience with nondeep learning techniques in a supervised setting (support vector machines, decision trees, KNN, and random forests).Experience with non-deep learning techniques in an unsupervised setting (K-means, DBSCAN, Hierarchical clustering, T-SNE).Experience developing solutions leveraging large language models (LLMs) and Retrieval Augmented Generation (RAG) workflowsExperience with bug tracking systems (GitLab, GitHub, Jira, Azure DevOps)Experience with version control systems (Git preferred)Desired Qualifications:
Experience developing in an Agile environment, leveraging Scrum and/or KanbanExperience development business systems for the Department of Defense, specifically the US NavyExperience building responsive web applications suitable for use on Mobile devicesExperience implementing and configuring CI/CD pipelines (Azure DevOps, Sonar Qube, Nexus Repository Manager, Nexus IQ)Experience managing software deployed to a production environment (IIS, MS SQL Server)Knowledge of AI/ML algorithms, or an ability to learn and understand existing implementationsKnowledge of Generative AI and common development patterns, tools, and techniques, including Vector Stores, Large Language Models, and Prompt EngineeringDuties and Responsibilities:
Participate and own end - to - end iterative design, development, and testing, and deployment of capabilities within the Navy Reserve portfolio of business systems.Work with analysts, stakeholders, and other engineers to understand, define, and improve requirements.Maintain a pulse on development roadmaps and emerging technologies to advance those employed by the teamPromotes team growth through a variety of mechanisms, including mentoring, code reviews, educational and inspirational articles, commentary, and talks.Advise leadership and team on complexity reduction in projects, products, services, systems, and process. Recognize and demonstrate the ability to make decisions based on risk and return on-investment.Produce, test and perform on going evaluation of deployable ML models that can operate in near real time and provide enhanced and automated outputs to the Navy Reserve community.Conduct exploratory data analysis on large, raw and highly dimensional pre-existing datasets, apply data visualization, normalization and data mining methods to extract usable data from possibly noisy datasets.Become a resident expert in all technologies within the full stack, including but not limited to .NET, JavaScript, React, and subordinate technologies/frameworks, with a particular focus on AI/ML capabilities/tools/techniques.Promote a culture founded on agile development with high development standards
#clearance #cleared
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.