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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal - Software Engineer - **Company:** GE Aerospace - **Location:** Helena, MT, United States (Remote available) - **Experience:** Expert - **Salary:** $152,000.0 - $202,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Application Performance Management, Audit Trail, Automation of Tests, Business Intelligence Development, Software as a Service, Software Quality, Code Review, Databases, Continuous Integration, Data Infrastructure, Software Debugging, Software Design Patterns, Graph Database, Machine Learning, Operational Data Store, Search Technologies, Software Engineering, Systems Integration, Cloud Platform System, Large Language Models, Snowflake, Git, Information Technology, Front End Software Development, Software Version Control, Databricks - **Published:** September 24, 2026 - **Apply:** https://dejobs.org/x/x/1E8A2654A94A4393977511123E01365E/job/ ## About the Role * Bachelor's degree in Computer Science, Software Engineering, or a related technical field from an accredited university or college * Minimum of 8 years of hands-on experience building and shipping full-stack applications to production Desired Characteristics: * Master's degree in a related field from an accredited university or college Technical Expertise * Full-Stack Development: Strong across modern front-end and back-end technologies; builds and owns applications end to end * AI Integration: Experience embedding ML models, LLM APIs, and agentic workflows into production applications * MCP & Tool Interfaces: Builds MCP servers or equivalent tool interfaces that applications and agents call in production * Knowledge Graphs & Ontologies: Models domain knowledge as graphs and ontologies to ground AI, power semantic search, and enable reasoning over connected data * Cloud & Data Platforms: Familiar with cloud application hosting and modern data platforms (Databricks, AWS, Snowflake, or similar) * Engineering Fundamentals: Git, CI/CD, automated testing, code review, and secure-by-default practices Domain & Problem-Solving * Breaks ambiguous business problems into clear, shippable increments and validates assumptions with users * Debugs across the stack-front end, API, database, and integrations * Weighs trade-offs (build vs. buy, batch vs. real-time, speed vs. reliability) with clear reasoning * Experience in supply chain, manufacturing, maintenance, or similar operational domains is a strong plus Collaboration & Communication * Strong communication skills: Explains technical concepts and trade-offs to technical and non-technical audiences * Effective collaborator: Works seamlessly with BI developers, data and AI/ML engineers, and business stakeholders * Leads by influence: Drives technical direction through evidence and example rather than authority, * Player-coach: Balances hands-on building with mentoring and code review; takes on the hardest problems * Quality-focused: Builds reliability, security, and testing in from the start * Ownership: Drives applications from design through deployment and continuous improvement ## Description * Design, build, and maintain full-stack applications and services across the full software lifecycle: requirements, implementation, testing, documentation, and production support * Build responsive front ends and back-end services deployed to the cloud * Optimize application performance so applications and monitor applications for errors, latency, and usage; own alerting, incident response, and root-cause analysis AI-Powered Features * Embed AI into applications with natural-language queries, predictive insights, recommendations, and conversational interfaces * Ground AI features in knowledge graphs and ontologies that model the domain and enable semantic search and reasoning over operational data * Build and expose reusable AI capabilities via MCP servers that applications and agents can call * Integrate machine-learning models and LLM APIs into production applications to enhance insights and decision-making * Build agentic workflows that trigger actions and update records, with human approval and audit logging * Partner with junior engineers to move models from experiment to reliable, production-grade features Technical Standards & Code Quality * Set and enforce application coding standards, design patterns, and engineering best practices across the team * Serve as senior reviewer for application code correctness, performance, security, and maintainability * Establish CI/CD, automated testing, and version-control workflows for application development * Build reusable components, templates, and utilities that accelerate development across the team Technical Leadership & Mentorship * Mentor and coach junior software engineers and BI developers * Translate ambiguous business problems into project plans and application work * Partner with BI leadership on the application roadmap and with stakeholders on requirements and priorities * Lead application projects of moderate to high complexity, guiding others and influencing technical direction ## Related Videos - [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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)