Staff Software Engineer - Full Stack

A Place for Mom is building the next generation of intelligent, scalable platforms that connect families, providers, and advisors through AI-driven experiences. They are seeking a Staff Software Engineer – Full Stack to help build and scale the platform for B2B partners, focusing on the agency portal for managing referrals and relationships.

Responsibilities:

• 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

Requirements:

• 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
• Demonstrated proficiency with AI-assisted and agentic development workflows — for example Claude Code or similar coding agents, MCP-based tool integrations, and AI-assisted code review — with concrete examples of how it changed your team's throughput or quality
• Practical experience building LLM-backed features: prompt design, retrieval and context strategy, structured output, cost and latency management, and evaluating output quality systematically
• Experience with cloud infrastructure (AWS preferred) and modern data platforms such as Databricks, Snowflake, or equivalent
• Thrives in fast-paced environments while architecting dependable solutions that scale effectively
• Role models and champions modern ways of working — Agile, DevOps, and related practices — and actively participates in an engineering community
• Strong communication and storytelling skills: able to articulate a vision or concept in simple terms to a broad audience at every level
• Helps position our services and products to take advantage of changing industry trends and opportunities
• Is able to step back from a task and reassess size and complexity when appropriate
• Takes ownership of the quality of the solution or feature being implemented
• Demonstrates competent problem-solving skills — debugging, analysis, and instrumentation — in a context beyond code they have written
• Takes ownership of keeping technical documentation for their features up to date
• Experience with B2B or partner-facing SaaS platforms, marketplaces, or lead and referral management systems
• Experience with large-scale web scraping, crawling, or third-party data acquisition, including the operational realities of upstream sources that change without notice
• Experience with entity resolution, record linkage, or master data management
• Healthcare, senior care, or regulated-data domain experience (NPPES, state licensure, HIPAA awareness)
• Experience building internal developer tooling or MCP servers that make AI agents effective against proprietary systems