[All remote jobs](https://jobicy.com/jobs.md)[![A Place For Mom logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/4503308e-221.jpg)](https://jobicy.com/company/a-place-for-mom.md)[A Place For Mom](https://jobicy.com/company/a-place-for-mom.md) # Staff Software Engineer – Full Stack AI Summary A Place for Mom is seeking a Staff Full Stack Software Engineer to lead the development of a B2B agency portal used by senior living and home-care providers. The role spans React and TypeScript front ends, .NET APIs, Python data-ingestion pipelines, relational data, and cloud-native architecture. The engineer will use agentic coding tools in daily development and build reliable LLM-powered workflows for extraction, classification, entity resolution, and automation. This is a senior technical leadership role involving architecture decisions, code reviews, mentorship, production troubleshooting, and close collaboration with product and design. Experience with scalable SaaS systems, data platforms, AI evaluation practices, and healthcare-related provider data is strongly relevant.[Apply for this job](#job-application)[View company](https://jobicy.com/company/a-place-for-mom.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 160k–200k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished8 Nov 2026Apply before8 Dec 2026Listing views67Application actions8Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. The Position: [A Place for Mom](https://jobicy.com/company/a-place-for-mom.md) 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 * 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 Preferred Experience: * 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 Compensation: * Base Salary: $160,000 to $200,000 * Bonus: Target of 10% of annual earnings * Benefits: 401(k) plus match * Health insurance * Dental insurance * Vision insurance * Paid Time Off #LI-DC1 #LI-REMOTE About A Place for Mom A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies. Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other. We’re proud to be a mission-driven company where every role contributes to improving lives. Caring isn’t just a core value — it’s who we are. Whether you’re supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference. Our employees live the company values every day: * Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy. * Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow. * Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team. * Win The Right Way: We see organizational integrity as the foundation for how we operate. * Embrace Change: We innovate and constantly evolve. Additional Information: A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit [www.dhs.gov/E-Verify](http://www.dhs.gov/E-Verify). Show more [Apply now >](https://jobicy.com/jobs/159672-staff-software-engineer-full-stack.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position requires more than 10 years of full-stack engineering experience plus staff-level architectural ownership across application, API, data, cloud, and AI systems. It also demands practical leadership in agentic development and quality-controlled LLM product delivery within a fast-paced environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$180,000US market range (per year)$175k–$235k0$258.50k AI insightThe employer explicitly lists a yearly base-salary range of $160,000 to $200,000 USD, with a midpoint of $180,000. The stated 10% target bonus is separate from base pay. The estimated US annual market range for a staff-level full-stack engineer with AI, cloud, and data-platform responsibilities is $175,000 to $235,000 USD. ## Core skills Skills and capabilities most closely associated with this opportunity. [React](https://jobicy.com/jobs?search_keywords=React.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[.NET](https://jobicy.com/jobs?search_keywords=.NET.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[LLM application development](https://jobicy.com/jobs?search_keywords=LLM%20application%20development.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Entity resolution](https://jobicy.com/jobs?search_keywords=Entity%20resolution.md)[Data ingestion](https://jobicy.com/jobs?search_keywords=Data%20ingestion.md)[Continuous deployment](https://jobicy.com/jobs?search_keywords=Continuous%20deployment.md)[Automated testing](https://jobicy.com/jobs?search_keywords=Automated%20testing.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md) Sample interview questionsDescribe a full-stack system you designed from the database through the user interface. What architectural decisions did you make and why?I would explain the domain model, service boundaries, API contracts, front-end component architecture, and observability strategy. I would also connect each decision to scalability, maintainability, delivery speed, and the user workflow it improved. How have you used AI coding agents in a production engineering workflow while maintaining code quality and security? I use agents for well-scoped implementation, test generation, refactoring, and documentation, while retaining human ownership of architecture and review. I provide repository context and guardrails, require automated checks, inspect generated changes carefully, and track whether the workflow improves lead time or defect rates. How would you build an LLM-based provider-data extraction and normalization workflow for unreliable upstream records? I would combine deterministic preprocessing with structured LLM outputs, schema validation, confidence scoring, and fallback paths for ambiguous records. I would maintain an evaluation dataset, monitor accuracy and cost, log failures, and use human review or rules for high-risk fields. How do you approach entity resolution when provider records arrive from multiple sources with inconsistent names, addresses, and identifiers? I would establish canonical identifiers where possible, normalize fields, and use layered matching that combines deterministic keys with probabilistic similarity signals. I would measure precision and recall against labeled examples, preserve match explanations, and route low-confidence matches for review rather than silently merging them. Tell us about a production incident involving systems outside the code you personally wrote. How did you resolve it and prevent recurrence? I would begin with impact assessment and telemetry to isolate the failure across UI, services, dependencies, and data layers. After restoring service, I would document root cause, add targeted monitoring and regression tests, and work with the responsible teams to implement durable preventative controls. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp) Welo Global Nov 8 New ### [MSR Project – Japanese Culture Expert](https://jobicy.com/jobs/159811-msr-project-japanese-culture-expert.md) Overview Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for Japanese-speaking experts to join our team. 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