Senior Full Stack Software Engineer

4 weeks ago

Chesapeake, Virginia, United States Apex Systems Full time

Job Summary:

We are seeking a highly skilled Full Stack Software Engineer with a focus on AI/ML to join our team at Apex Systems. As a key member of our team, you will be responsible for designing, developing, and deploying AI/ML capabilities within the Navy Reserve portfolio of business systems.

Key Responsibilities:

  • Participate in end-to-end iterative design, development, and testing of AI/ML capabilities.
  • 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 team.
  • Promote team growth through mentoring, code reviews, educational articles, and talks.
  • Advise leadership and team on complexity reduction in projects, products, services, systems, and process.
  • Produce, test, and perform ongoing 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 .NET, JavaScript, React, and subordinate technologies/frameworks, with a particular focus on AI/ML capabilities/tools/techniques.

Requirements:

  • Active DoD Secret Clearance.
  • CompTIA Security+ certification (or equivalent).
  • 5+ years of relevant experience as a Full Stack Developer in .NET (C#), ASP.NET, JavaScript, Node, React, Python, MS SQL Server.
  • 4+ years of experience performing generative AI tasks (script generation, generative models).
  • AWS based development experience supporting AI/ML workloads.
  • Familiarity with unlabeled datasets and applicable machine learning processes (self-supervised learning, semi-supervised, and meta-learning).
  • Experience with non-deep 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) workflows.
  • Experience 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 Kanban.
  • Experience developing business systems for the Department of Defense, specifically the US Navy.
  • Experience building responsive web applications suitable for use on Mobile devices.
  • Experience 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 implementations.
  • Knowledge of Generative AI and common development patterns, tools, and techniques, including Vector Stores, Large Language Models, and Prompt Engineering.

Apex Systems is an Equal Opportunity Employer:

We are committed to diversity and inclusion in the workplace. 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.

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