Rechat Logo

Rechat

Full-Stack Engineer, Client Solutions

Reposted 3 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
100K-120K Annually
Senior level
In-Office
Austin, TX, USA
100K-120K Annually
Senior level
Build, deploy, and maintain third-party integrations across APIs and external services. Develop full-stack features with a backend focus, design PostgreSQL schemas and queries, troubleshoot cross-system issues, and improve performance, scalability, observability, reliability, and asynchronous processing. Collaborate with Product, Design, and Engineering while independently managing multiple integration projects.
The summary above was generated by AI

Rechat is the operating system for real estate. Marketing, CRM, transactions, listings and AI in a single product, replacing the disconnected stack of tools most agents are forced to stitch together.

Some of the largest brokerages and networks in North America run their business on us, and tens of thousands of agents use Rechat every week. We have spent the last two years rebuilding the product to be AI-native, and we are growing quickly.

REMOTE (Work may be performed anywhere)

Every brokerage leader we talk to knows AI should change how their business runs. Almost none of them know where to start, and the generic tools they have tried don't fit how a brokerage actually works.

You are here to close that gap, fast and over and over again.

You will get on calls with brokerage executives and managers, figure out what they actually need (which is often not what they first ask for), and turn it into working software on Rechat's platform. Manager dashboards, business trackers, listing tools, workflows, and AI agents that do real work in the background: watching deals, summarizing activity, flagging risk, taking action.

Speed is the job. With AI, a good idea can go from a client call to a working prototype in a morning and to production in days. We have already done it. We need someone who can do that every week, across many clients, and keep the quality high while they do it. You will write most of your code with AI, and you will ship a lot of it.

You own what you build, end to end: the call, the spec, the prototype, the launch, and the fix when something breaks. Some of what you build will be for one brokerage. The best of it will become part of Rechat for everyone.

This is a new function for us and you will help define how it works.

What You’ll Own:

  • Discovery. Running calls with brokerage leaders, asking the questions that get past the first request to the real problem, and writing it down as a clear spec.
  • Rapid prototyping. Turning a spec into something a client can react to in days, not weeks, using AI to do most of the building.
  • Shipping. Taking prototypes to production on Rechat's APIs, many of them, at a fast pace.
  • AI agents. Building features where AI acts on its own: what triggers it, what data and tools it uses, what it does, and what happens when it gets something wrong.
  • Everything after launch. Debugging and supporting what you ship. If it breaks, you fix it.
  • Productizing. Spotting when three brokerages are asking for the same thing, and building it once so every client can use it.
  • Adoption. Making sure what you built actually gets used. An app nobody opens is a failed project, however clean the code is.

Who You Are:

You are an engineer and a builder who is good at client facing roles as well. The kind of person who has shipped side projects on a weekend, hacked together a tool their team ended up relying on, and gets restless when something takes a month that could take a day.

You are not the engineer who wants to spend three weeks perfecting an architecture. You are also not someone who only prompts and hopes. You understand code well enough to read what AI writes, catch what is wrong, and stand behind it in production.

    Our Stack:

    Node.js, TypeScript, React and PostgreSQL

        Education/Experience:
        Be prepared to walk us through each of these in detail.

        • 3 to 5 years as a full-stack software engineer, with things in production that real people used.
        • Strong in Node.js and TypeScript. Comfortable across the stack: APIs, data, frontend, and getting something deployed.
        • You build with AI every day and it has made you dramatically faster. You can show us something you built in days that would once have taken weeks.
        • You have worked directly with customers or non-technical people to turn a vague need into something shipped.
        • You have debugged and supported something after launch, not just handed it off

        Strongly Preffered:

        • You have built an AI agent. By that we mean something where an LLM calls tools or APIs and takes action on its own, and you had to deal with it being wrong. Not a chatbot wrapper. Tell us what it did, how you knew whether it was working, and what you changed when it wasn't.
        • Real estate or proptech experience. You know the difference between a listing and an off-market, an offer and a contract, and how a brokerage actually makes money. You won't need this explained on a client call.

        How You Work:

        • Strong product sense. You care whether people actually use what you built. You put love into what you build and pay attention to all the details.
        • You ask 'what decision does this help someone make?' before you ask 'what should it look like?
        • You would rather ship ten useful things than perfect oneYou can say no to a client, explain why, and offer something better
        • You use AI tools daily and know when not to trust them
        • Excellent spoken and written English. You are comfortable leading a call with a CEO
        • You are hands-on and resourceful. When you are stuck, you find a way

        Probably not the right fit:

        • You prefer to perfect one thing over shipping many
        • You have never talked directly to a customer and prefer to receive finished specs
        • You don't use AI heavily in how you build today
        • You need detailed requirements and clean processes to be effective. You will create them here
        • You want to manage a team soon. This is an individual contributor role

        Why You’ll Love Working Here:

        • Competitive compensation and benefits
        • Fully remote with flexible work/life balance
        • A diverse, inclusive, and highly collaborative culture
        • Meaningful work with a product used by real professionals every day
        • Flexible Paid Time Off

        We are an equal opportunity employer committed to building a diverse and inclusive team. All employment decisions are made without regard to legally protected characteristics. Background and reference checks required.


        Similar Jobs

        53 Minutes Ago
        Remote or Hybrid
        United States
        111K-180K Annually
        Senior level
        111K-180K Annually
        Senior level
        Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
        Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.
        Top Skills: AnsibleCicsCobolDevOpsIbm MqIbm Z/OsOpenshiftPythonRed Hat Ansible Automation PlatformZ/Os ConnectZlinux
        53 Minutes Ago
        Remote or Hybrid
        United States
        111K-180K Annually
        Senior level
        111K-180K Annually
        Senior level
        Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
        Leads the architecture, modernization, resilience, security, and performance optimization of enterprise mainframe environments. Responsibilities include z/OS performance tuning, WLM and RACF administration, business continuity planning, automation, technical governance, incident resolution, stakeholder collaboration, and guidance of cross-functional engineering and operations teams. The role also evaluates cloud, DevOps, AI, and hybrid IT technologies for mainframe transformation.
        Top Skills: AnsibleCsmGlobal MirrorIbm Z/OsMetro MirrorOpenshiftPr/SmPythonRacfRed Hat Ansible For Ibm Z CollectionsRmfSmfWlmZlinux
        Entry level
        Fintech • Financial Services
        Build customer relationships in a branch setting, identify financial needs, recommend banking products and digital tools, support account openings and credit applications, process cash transactions, and provide compliant service. The role combines customer outreach, sales referrals, teller activities, risk awareness, and collaboration with licensed bankers. Saturday availability and SAFE registration are required; Spanish/English bilingual proficiency is preferred.
        Top Skills: Cash-Handling SystemsDigital Banking Tools

        What you need to know about the Austin Tech Scene

        Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

        Key Facts About Austin Tech

        • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
        • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
        • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
        • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
        • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
        • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

        Sign up now Access later

        Create Free Account

        Please log in or sign up to report this job.

        Create Free Account