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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Principal Engineer / Web App Developer - **Company:** Dell Technologies Inc. - **Location:** Hopkinton, MA, United States - **Experience:** Expert - **Salary:** $172,000.0 - $236,500.0 - **Contract:** Internship / Graduate position - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, User Authentication, Databases, Continuous Integration, Programming Tools, Github, Graph Database, Python (Programming Language), PostgreSQL, Metadata, Neo4j, Node.Js, OAuth, Open Source Technology, OpenID, OpenShift, Systems Development Life Cycle, Query Optimization, Redis, E2e Testing, OpenAI, Microsoft Copilot, Next.js, Search Technologies, Single Sign-On, Software Engineering, Systems Integration, TypeScript, Web Applications, Highcharts, Eslint, Network Routers, Test-Driven Development (TDD), Okta, Tailwind, DevOps Tools - Open-source, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Indexer, AI Coding Agents, Agentic-AI, Fastapi, Data Layers, Pgvector, Kubernetes, Information Technology, Playwright, Github Enterprise, Graphql, React Testing Library, Event Sourcing, Evaluation of Large Language Models, Api Design, JestJS, Api Management, Docker - **Published:** October 10, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28097844/Software-Principal-Engineer-Web-App-Developer-Massachusetts-Hopkinton-1312 ## About the Role * 8+ years of software engineering experience, with a track record of shipping and operating full-stack production systems; * Deep hands-on expertise in React with TypeScript (Next.js or a similar framework) and Node.js/TypeScript or Python back ends, including API design, authentication (OAuth/OIDC) and containerized deployment on Kubernetes * Strong data modeling and database skills, especially PostgreSQL: schema design for versioned and hierarchical metadata, indexing and query optimization, partitioning, caching, and knowing when to use document, graph or vector store * Shipped at least one production feature built on LLMs or AI agents (not only used AI coding assistants), and uses agentic development tools as a core part of daily engineering work * Thrives in a startup-style environment: comfortable with ambiguity, ships MVPs quickly, iterates on feedback and owns outcomes end to end Desirable Requirements * Bachelor's degree in Computer Science, Engineering or equivalent experience * Experience building developer platforms, SDLC/DevOps tooling or governance and audit systems, including GitHub/GitHub Enterprise API integrations, Redis, pgvector, event sourcing or knowledge graphs (e.g. Neo4j) * Experience with LLM evaluation and agent frameworks (e.g. LangGraph, OpenAI Agents SDK), MCP, Playwright end-to-end testing, Red Hat OpenShift, or contributions to open-source AI projects ## Description The Agentic Development Lifecycle (ADLC) Portal is the central platform our engineering organization uses to deliver software with AI agents as first-class team members. Engineers, architects and product managers use it to author and approve specifications, launch and monitor agent-driven implementation pipelines, enforce quality and governance gates, and trace every change from requirement to production with a full audit trail and delivery metrics. We are a small, AI-native team operating like a startup inside Dell: high autonomy, weekly shipping, and humans and AI agents sharing the delivery work every day. We don't just use AI tools; we build the platform that governs how AI builds software. Join us to do the best work of your career and make a profound impact as a Software Principal Engineer on our AI Governance Engineering team in Hopkinton, Massachusetts. This is an onsite role. What you'll achieve As the senior hands-on engineer on the ADLC Portal, you will design and ship major subsystems end to end: front end, back-end services, and the data layer that stores specifications, artifacts, agent runs and their lineage. You will spend most of your time building (70%+), working alongside AI agents as part of your daily workflow, and setting the technical bar for the team. Responsibilities You will: * Build and own major portal capabilities across the full stack, including React/TypeScript user experiences on Next.js and Node.js/TypeScript (or Python) services and APIs, from design through production operations * Design the data layer for versioned specifications, agent-run records, lineage and audit trails, choosing the right mix of relational (PostgreSQL), document, graph and vector storage and keeping queries fast and cost-efficient as data grows * Integrate AI agents and LLMs into the product: tool calling, agent orchestration, streaming agent output, retrieval (RAG) and MCP integrations, with evaluations and guardrails that make agent output trustworthy * Work AI-native every day: write specs that agents implement, review and correct agent-generated code and tests, and continuously improve how the team delivers with agents * Raise the engineering bar through code and design reviews, test-driven development, observability, CI/CD on Kubernetes, and mentoring engineers on the team, * Front end: React 19 and TypeScript on Next.js 16 (App Router, Server Components, Server Actions), Tailwind CSS, Chart.js. * Back end: Node.js / TypeScript services and APIs with Zod schema validation, server-sent events for streaming agent output; Python (e.g. FastAPI) services * Data: PostgreSQL, plus caching and file-backed state stores, with a roadmap toward Redis, vector search (e.g. pgvector) and graph-based lineage * AI and agents: OpenAI-compatible LLM gateway, agent loops with tool calling, AI coding agents (e.g. Claude Code, Devin, Copilot) and MCP integrations * Integrations and identity: GitHub Enterprise REST and GraphQL APIs (Octokit, GitHub Apps), OAuth/OIDC single sign-on (NextAuth, Okta) * Quality and delivery: Vitest, React Testing Library, Playwright with accessibility checks, ESLint, test-driven development, GitHub Actions CI/CD, Docker, Kubernetes / Red Hat OpenShift with autoscaling