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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level Software Engineer - **Company:** Riverside Research Institute - **Location:** Fairfax, VA, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C++ (Programming Language), Data Mining, Python (Programming Language), Machine Learning, Language Modeling, Pattern Recognition, Scrum Methodology, Tensorflow, Software Engineering, Cloud Platform System, Pytorch, Git, SC Clearance, Scikit Learn, Information Technology, HuggingFace, Data Management, Virtual Agents, Software Version Control, Programming Languages - **Published:** September 7, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8895300/mid-level-software-engineer ## About the Role Current Secret clearance, ability to obtain a TS/SCI - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 8-10 years of experience in software engineering with a focus on machine learning/AI and data analysis. - Proficient in programming languages such as Python, Java, or C++, with experience in machine learning/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong understanding of machine learning/AI algorithms, statistical analysis, and data mining techniques. - Experience with data management tools and frameworks - Familiarity with software development methodologies (Agile, Scrum) and version control systems (Git). - Familiarity with cloud computing platforms (e.g., AWS, Azure) and deployment of machine learning/AI models in cloud environments. - Excellent problem-solving skills and the ability to work effectively in a team-oriented environment. - Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: - Current TS/SCI clearance - Experience in defense or government contracting environments. - Knowledge of cybersecurity principles and practices. - Familiarity with common AI Agent SDKs (LangGraph, OpenAI SDK, etc.) and related protocols (e.g., MCP, A2A) - Familiarity with running language models locally (e.g., using HuggingFace transformers, ollama, LM Studio, llama.cpp, etc.) ## Description As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address complex challenges within defense applications. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and defense analysts, to enhance the capabilities of our systems and support mission-critical operations., Develop, implement, and apply machine learning / AI algorithms - Design, implement, and optimize machine learning/AI models for various defense applications, including data analysis, pattern recognition, and predictive modeling. - Collaborate with data scientists to preprocess and analyze large datasets, ensuring high-quality training data for model development. - Develop scalable software solutions that integrate machine learning/AI algorithms into existing systems and workflows. - Conduct experiments to evaluate and refine model performance, ensuring reliability and accuracy. - Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and documentation. - Stay current with advancements in machine learning/AI technologies and methodologies, applying best practices to enhance our projects. - Contribute to the preparation of technical reports and presentations for stakeholders. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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