Software Engineer — AI, Data & Cloud Architecture

All In On Data; Beverly Hills (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

All In On Data is an early-stage real estate technology venture seeking a senior engineer to build our platform from the ground up. You will design the data layer, services, pipelines, and deployment strategy on AWS, choosing the stack and owning the consequences.

You will create AI-native systems, enable retrieval over unstructured documents, and shape end-to-end workflows that actually move the business. This role demands ownership and deep technical leadership.

Qualifications

• 10+ years building and shipping production software with real users.
• Deep AWS expertise including multi-service architectures and cost/scale tradeoffs.
• Strong relational and non-relational database knowledge.
• Data engineering depth with end-to-end pipelines and data quality.

Responsibilities

• Architect and build our cloud platform on AWS, including data layer and deployment.
• Design and operate data infrastructure to transform real estate data into queryable assets.
• Build AI-native systems with retrieval over unstructured documents.
• Leverage AI tooling as a primary engineering surface.
• Make buy vs. build and hosting decisions without an architecture review board.
• Set standards for testing, CI/CD, observability, security, and documentation.

Skills

10+ years of production software

Deep AWS

Database expertise

Data engineering depth

AI/ML engineering

Engineering mindset

Self-motivated

Tools

IAM

VPC

RDS

S3

ECS/EKS

Job description

We are an early-stage real estate venture, and we are hiring the engineer who will build our technology

from nothing. Not a team. Not a backlog handed down from a product org. You, a business problem,

and the freedom to architect the answer.

What you'll do

• Architect and build our cloud platform on AWS — the data layer, the services, the pipelines, the deployment story. You choose the stack. You live with the consequences.
• Design and operate the data infrastructure that turns messy real estate data — listings, comps, title records, market feeds, financials, documents — into something queryable, trustworthy, and fast.
• Build AI-native systems, not AI features bolted onto a CRUD app. Retrieval over unstructured property and transaction documents. Agentic workflows that do real work end-to-end. Evaluation harnesses so we know when a change made things better or worse.
• Use AI tooling as a primary engineering surface. We expect your output to reflect the leverage modern tooling gives a strong engineer. We will ask you to show us.
• Make the calls. Build vs. buy, managed vs. self-hosted, where to take on debt and where not to. There is no architecture review board. There is you and a business that needs to move.
• Set the standard the rest of the engineering org will inherit — testing, CI/CD, observability, security, documentation.

What we are looking for:

Core requirements:

• Legally authorized to work in the United States. This role is not eligible for visa sponsorship.
• 10+ years, or equivalent demonstrated depth, building and shipping production software. Real systems, real users, real operational responsibility.
• Deep AWS. Not "I've used Lambda." You have designed multi-service architectures, made cost and scaling tradeoffs deliberately, and debugged them under pressure. IAM, VPC, RDS, S3, ECS/EKS, and the serverless stack should all be familiar territory.
• Serious database expertise. Relational and non-relational. You can model a schema properly, read a query plan, find the index that’s missing, and explain why the ORM is lying to you.
• Data engineering depth. Ingestion, transformation, orchestration, warehousing, data quality. You have built pipelines that other people's decisions depended on.
• Real AI/ML engineering experience. RAG and retrieval architecture, vector stores, agent orchestration, prompt and context engineering, model evaluation. You know the difference between a demo and a system that holds up under load and scrutiny.
• You are an engineer. You bring systems thinking, rigor, and judgment about tradeoffs — not just fluency with tools.

Just as important:

• You operate without supervision. Nobody will assign you tickets. You will scope the work, prioritize it, and report back on what matters.
• Self-motivated and serious. This is a role for someone who takes their craft seriously and wants ownership, not oversight.
• You communicate clearly with non-engineers. A meaningful share of your time will be spent with people who care about deals and returns, not distributed systems.

Strongly preferred:

• An Anthropic credential — Claude Code, Claude Developer, or equivalent — or the ability to demonstrate comparable depth in practice.
• Real estate domain knowledge — brokerage, investment, property management, proptech, title, lending, or CRE data. Not required, but it will shorten your ramp considerably.
• Early-stage or founding-engineer experience.

About the interview:

We will ask you to walk us through a system you built where AI tooling was central — in genuine technical detail. What you delegated to the model and what you didn't. Where it failed you and how you caught it. How you evaluated correctness. What the architecture looked like and why.

Come prepared to go deep. Surface-level answers here are the fastest way out of the process.

Structure & Logistics

• Hybrid, in Beverly Hills. We want to build this in the same room for a meaningful part of the week, so we are looking for candidates in the greater Los Angeles area. If you need an accommodation to this expectation, tell us and we will engage with the request in good faith.
• You will be working directly with the founders. Short feedback loops, fast decisions, no politics.

people who care about deals and returns, not distributed systems.