Principal Software Engineer

We are seeking a highly skilled Senior Full‑Stack Software Engineer to join our team to build and scale our next‑gen Intelligent Model‑Based Systems Engineering (iMBSE) platform. In this role, you will be at the forefront of integrating state‑of‑the‑art Artificial Intelligence into enterprise engineering workflows. You will design and develop robust, cleanly separated system layers—from React‑based user interfaces to scalable backend APIs powered by Python and Rust. A core focus of this position will be designing and implementing Agentic AI solutions, Custom Workflows, and RAG (Retrieval‑Augmented Generation) services utilizing industry‑leading LLMs like GPT‑4o and Meta Llama 3. You will work within a mature, automated DevSecOps environment, ensuring that code is secure, tested, and seamlessly deployed to Kubernetes clusters across AWS and Azure environments.
Design, build, and maintain full‑stack features across the iMBSE platform, including user‑facing web applications, orchestration APIs, and backend microservices.
Develop and deploy agentic AI solutions, such as LLM‑driven workflows, RAG services, and autonomous chat agents.
Ensure compliance with DevSecOps best practices, leveraging CI/CD pipelines and automated testing, security scanning, and cloud‑native tooling.
BS 10‑12, MS 8‑10, PhD 5‑7
~ Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field.
~5+ years of professional software engineering experience, including significant full‑stack development.
~ Extensive hands‑on experience with Python and/or Rust in production environments.
~ Proven track record building, deploying, and scaling agentic AI solutions (LLM agents, RAG pipelines, etc.) Proficiency with modern frontend technologies (React, Redux, JavaScript/TypeScript, HTML/CSS) and contemporary backend architectures (REST APIs, microservices).
~ Strong understanding of cloud infrastructure and platforms (AWS, Azure, Kubernetes, Docker).
~ Experience developing and maintaining CI/CD pipelines (GitLab, Docker, Maven), and automated testing frameworks (pytest, JUnit).
~ Solid grasp of secure coding practices and DevSecOps workflows.
~ Ability to obtain/maintain Secret Clearance.

Cameo Systems Modeler, Teamwork Cloud).
Familiarity with storage architectures (graph DBs, relational DBs, blob storage), API‑driven platforms, and event‑driven workflows.
Experience with AI model orchestration (e.g., Knowledge of system observability tools (Prometheus, Grafana) and automated monitoring/alerting.
and related AI APIs.
Languages: Python, Rust, Java, JavaScript (React/Redux).
Cloud/Infrastructure: AWS, Azure, Kubernetes, Docker, Terraform.
Testing/Observability: pytest, JUnit, Jacoco, OTel, Grafana Stack, MLflow.
AI/ML: GPT models, Claude models, Embedding Models, LangChain, LlamaIndex, MCP.
Cameo Systems Modeler, Teamwork Cloud, SysML v1 and v2.
Equal Pay Act: This is the projected compensation range for this position. This role is a federal government contractor. Benefits include dependent upon position: health insurance, life insurance, paid time off, holiday pay, short‑term and long‑term disability, retirement and savings, learning and development opportunities, wellness programs, and other optional benefit elections.
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.