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Arcfield Logo Arcfield · IT - Software Development

Senior Principal Software Engineer

United States, Home Employment contract 127584.65 - 251035.08 USD / Year · Job Posted May 29, 2026
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Job Description

We are seeking a highly skilled Senior Full-Stack Software Engineer to join our team to build and scale our next-generation 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.

Job Responsibility

  • 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 (Retrieval-Augmented Generation) services, and autonomous chat agents
  • Collaborate cross-functionally with product owners, domain experts, and other engineers to deliver extensible and secure solutions supporting MBSE workflows
  • Contribute to system architecture, ensuring well-defined interfaces, low coupling, and future extensibility
  • Ensure compliance with DevSecOps best practices, leveraging CI/CD pipelines and automated testing, security scanning, and cloud-native tooling
  • Mentor junior engineers and champion engineering excellence through code reviews, design discussions, and knowledge sharing

Requirements

  • 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.) using frameworks such as LangChain, LlamaIndex, or similar
  • 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

Nice to have

  • Experience integrating with engineering and MBSE tools (e.g., 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., LLM/embedding model lifecycle, logging, compliance, RBAC)
  • Knowledge of system observability tools (Prometheus, Grafana) and automated monitoring/alerting
  • Exposure to state-of-the-art LLMs (OpenAI GPT-4, Meta Llama 3, etc.) and related AI APIs

What we offer

  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Holiday Pay
  • Short Term and Long-Term Disability
  • Retirement and Savings
  • Learning and Development opportunities
  • wellness programs
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