Staff Software Engineer - Full Stack

The Position

A Place for Mom is building the next generation of intelligent, scalable platforms that connect families, providers, and advisors through AI-driven experiences. We are looking for a talented Staff Software Engineer – Full Stack to help build and scale the platform our B2B partners run their business on. Our team owns the agency portal where senior living and home care providers manage referrals and their relationship with A Place for Mom.

This position reports to the Senior Engineering Manager – B2B Platform. You will work across the full stack: React/TypeScript experiences in Grace, .NET services behind our unified API layer, and Python ingestion pipelines that pull provider data from NPPES, state licensing boards, and other sources into Databricks. You will help select the technologies, architectural patterns, and design approaches the team adopts, and provide technical direction to a team of engineers building the systems our partners depend on every day.

We expect this engineer to work with LLMs as a first-class part of the job. That means using agentic coding tools fluently to move faster, and building LLMs into the product where it creates real leverage - data extraction and normalization at scale, entity resolution, classification, and workflow automation. Candidates who treat LLMs as an afterthought will not be a fit for this role.

Who you are

The ideal candidate is a hands-on, outcome-oriented engineer who is comfortable owning a problem from the database to the browser. You have extensive experience as a strategic technical leader. You have designed, built,, and supported production systems. You are energized by messy, real-world data problems and B2B workflows where the user is a business partner, not a consumer. You have already rewired how you work around AI tooling, and you can bring the rest of the team with you. You communicate well and partner closely with product and design, and you keep technology decisions tied to business outcomes.

What you will do

Design, build, and continuously deploy features across the stack — React/TypeScript front ends, .NET service and API layers, and the data pipelines behind them

Build partner-facing experiences in Grace that make referral management, community profiles, and reporting genuinely easier for agency users

Use AI coding agents as a core part of your daily workflow — scoping work for agents, reviewing and hardening their output, and building the context, prompts, and tooling that make agentic development reliable on our codebase

Apply LLMs to product and data problems where they outperform hand-written rules — extraction from unstructured provider records, classification, matching, and summarization — with evaluation harnesses and guardrails so quality is measured rather than assumed

Collaborate with leads to design cloud-native, service-oriented components and APIs

Enable continuous deployment by championing quality engineering practices: linting, unit testing, integration and e2e testing, and pipeline automation

Peer review code, suggest optimizations, and create reference implementations that raise the bar for the team

Help define engineering best practices including how the team adopts and governs AI tooling and provide technical mentorship

Investigate and resolve production issues end to end, from the UI through the service and data layers, and work to prevent recurrence

Partner with product and project managers so deliverables land on time and at high quality, and keep technical documentation for your areas current

Qualifications

10+ years of software engineering experience, with demonstrated depth on both sides of the stack

Strong proficiency with modern front-end development — React, TypeScript, component architecture, state management, testing, and design system adoption

Strong proficiency building and operating back-end services and APIs in any modern server-side language, plus solid relational data modeling and SQL

Working proficiency in Python for data ingestion, transformation, and automation