Computer Scientist II

JT4•Las Vegas, NV

1d•$101,920 - $110,240•Onsite

About The Position

The Computer Scientist II provides technical expertise in the analysis, design, development, and implementation of advanced software and data-driven solutions that support operational decision-making and mission objectives. This role collaborates with customers, project managers, and multidisciplinary teams to design scalable software systems, develop analytical technologies, and implement secure AI-enabled solutions. The ideal candidate possesses strong experience in Python software development, data architecture, database technologies (SQL, NoSQL, Vector, and Object databases), and Large Language Models (LLMs). This position requires a balance of analytical thinking, software engineering, and customer engagement within a secure government environment.

Requirements

A bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline with a minimum of 2 years of relevant professional experience; or a Master's degree in a related field.
Demonstrated experience designing and supporting relational (SQL), NoSQL, Vector, and Object database technologies.
Advanced proficiency in Python programming for software development, automation, data engineering, and system integration.
Hands-on experience integrating, deploying, or optimizing Large Language Models (LLMs) in production or research environments.
Experience developing data visualization, reporting, or analytical dashboard solutions.
Experience designing, developing, testing, and maintaining enterprise software applications.
Working knowledge of software engineering principles, object-oriented programming, version control, and software development best practices.
Strong analytical and problem-solving skills with the ability to evaluate complex technical challenges.
Excellent written and verbal communication skills with experience preparing technical reports and presenting analytical findings.
Demonstrated ability to manage multiple priorities while working independently and collaboratively in a team environment.

Nice To Haves

Experience with Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, and vector search technologies.
Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face, or similar platforms.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with Docker, Kubernetes, CI/CD pipelines, and DevSecOps practices.
Familiarity with Git, Agile software development methodologies, and secure software development lifecycle (SSDLC) practices.
Experience working within Department of Defense (DoD), Intelligence Community (IC), or other government environments.

Responsibilities

Serve as a technical advisor to engineers, scientists, and project managers on complex software and analytical challenges.
Collaborate with customers and stakeholders to gather, analyze, and translate business and technical requirements into software solutions.
Design, develop, implement, and maintain scalable database architectures using SQL, NoSQL, Vector, and Object database technologies.
Develop, integrate, optimize, and maintain Large Language Model (LLM) solutions within secure enterprise environments.
Design and implement Retrieval-Augmented Generation (RAG) architectures and AI-driven workflows using vector databases and modern AI frameworks.
Build, deploy, and maintain custom data visualization and analytical dashboards that provide actionable operational insights.
Develop efficient, maintainable Python applications and automation scripts for data processing, workflow automation, and system integration.
Participate in software architecture, design reviews, code reviews, and technical documentation throughout the software development life cycle.
Plan, develop, and execute unit, integration, system, and regression testing to ensure software quality and reliability.
Apply principles of computer science, mathematics, statistics, operations research, and engineering to analyze complex operational problems and develop data-driven solutions.
Collect, organize, and analyze large datasets; evaluate alternative approaches; and present findings through technical reports and presentations.
Produce comprehensive technical documentation supporting software development, testing, deployment, and system sustainment.
Support system maintenance, troubleshooting, performance optimization, and continuous improvement initiatives.
Perform other job-related duties, as required