Software Principal Engineer / Web App Developer

Dell Technologies•Hopkinton, MA

18h•$172,000 - $236,500•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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