Mid-level Software Developer

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL. Position Description We are seeking a mid-level AI Software Developer (5-10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you will develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities. You will work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision‑making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact. Responsibilities Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices. Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources. Build AI‑powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision‑makers. Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies. Create scalable data models and services that support analytics, reporting, and digital engineering initiatives. Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross‑functional environment. Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures. Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities. Prototype innovative AI solutions and mature successful concepts into production‑ready software. Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real‑world engineering and business challenges. Education Requirements BS Computer Science or Computer Engineering Experience Requirements A degree in Computer Science or related field and some hands‑on experience, personal projects, GitHub contributions, bootcamp experience, or internships. Demonstrative experience with at least one modern programming language (Python, C++, Rust) Experience with Linux operating system Built at least one meaningful service/API System‑level thinking Git + Linux proficiency Curiosity, problem‑solving, and a willingness to experiment. Comfort working in collaborative, iterative development environments. Strong communication skills and a desire to grow. Special Skills Desired 5-10 years of software development experience with strong proficiency in Python or similar scripting languages. Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies. Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools. Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent. Experience developing RESTful APIs and working with structured and unstructured data. Knowledge of vector databases, Retrieval‑Augmented Generation (RAG), embeddings, or semantic search is highly desirable. Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus. Strong problem‑solving, communication, and collaboration skills. Applicant selected must have an active Secret security clearance . Must be a U.S. Citizen. #J-18808-Ljbffr