Software Engineer 2/3
Location
United States
Posted
4 days ago
Salary
$83.4K - $125.2K / year
Seniority
Mid Level
Job Description
Software Engineer 2/3
Northrop Grumman
• Collaborate with data scientists and engineers to design, implement, and own full‑stack features for LLM‑powered applications • Develop and maintain back‑end services and APIs • Build user‑friendly, responsive front‑end interfaces • Work with cloud infrastructure and CI/CD pipelines to support reliable builds, deployments, and operations • Write clean, well‑tested code, troubleshoot issues across the stack, and participate in code reviews • Contribute to technical design discussions, documentation, and best practices for building and operating AI/LLM‑enabled applications
Job Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field and at least 2 years of experience in software development (a combination of professional experience and substantial internships/co‑ops may be considered)
- Experience with cloud infrastructure and CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure/AWS services)
- Proficiency in languages such as Python or Node.js
- Familiarity with building user‑friendly, responsive front‑end interfaces using modern web technologies (e.g., TypeScript/JavaScript and React or similar frameworks)
Benefits
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays and paid time off (PTO) for vacation and/or personal business
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Senior Software Engineer, iOS
Wikimedia FoundationImagine a world in which every single human being can freely share in the sum of all knowledge.
• Delivery and enablement - Consistently leads the team in the delivery of medium complexity initiatives (with support) from technical discovery through delivery. • Implementation - Improving the mobile Wikipedia product experiences that serve a global, multilingual audience on iOS. • Quality, testing and observability - Consistently builds and improves systems & software that is easy to test, observe and debug. • Cross-functional collaboration - Partners with product managers, designers, analysts, and native app engineers to shape pragmatic solutions that balance user needs, technical constraints, platform expectations, and delivery timelines. • Prioritisation - Proactively identifies high-impact technical opportunities and risks across a quarter. • Mentorship - Actively supports the growth and success of others. • Culture and standards - Raises team standards in code review, technical design, testing, documentation, accessibility, observability, and decision-making. • Operational Awareness - Plans work with awareness of downstream or upstream effects.
Principal Engineer, Agentic AI
VF CorporationVF Corporation is a clothing, apparel, and accessories company whose portfolio includes brands like Lee, Reef, The North Face, Wrangler, Eastpak, Vans, Lucy, Jansport, and many oth
• Own the pro-code development of production-grade agentic AI, building custom agents, multi-agent orchestration, complex integrations, and bespoke solutions that require deep engineering expertise. • Evangelize and enable low-code development across brand and business functions, empowering citizen developers to build, extend, and maintain their own agents while establishing guardrails, patterns, templates, and governance that make decentralized agent creation safe and effective. • Implement advanced Copilot Studio capabilities multi-agent orchestration, Model Context Protocol (MCP) server integration, human-in-the-loop (HITL) approval workflows and Copilot Tuning. • Build and enforce governance standards: lifecycle management, naming conventions, environment management, DLP policies, Entra Agent ID configuration, telemetry and analytics, and cost tracking. • Develop the integration between Copilot Studio and Azure AI Foundry, creating seamless upgrade paths where agents that outgrow Copilot Studio’s capabilities. • Architect and build production-grade custom agentic applications on Azure AI Foundry using Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Prompt Flow, and Semantic Kernel. • Write production-quality code (TypeScript, Python, C#) for custom agents, orchestration logic, tool integrations, evaluation pipelines, and deployment automation on Azure AI Foundry. • Own incident response for production agent issues: rapid diagnosis, remediation, root cause analysis, and post-incident improvements.
• Write production-ready Python code to implement architecture designs • Make and communicate technical decisions • Create and communicate status reports • Lead meetings and present technical concepts • Mentor other developers and ensure timely delivery of features • Participate in agile ceremonies and promote agile practices • Identify and drive continuous improvement opportunities
• Build and ship core product surfaces end to end • Design and implement features that enhance developer experience • Engage directly with developers and customers • Move quickly from prototype to production • Contribute to technical and product decisions




