Staff Software Engineer, Applied AI & Autonomous Agents

Ruxlo; Manasquan (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

Ruxlo is hiring a Staff Software Engineer, Applied AI to define the technical strategy for integrating AI across our real estate platform. You will design end-to-end AI systems, from model access to agent runtimes, and collaborate across engineering teams to ship robust AI-powered features.

You will build autonomous agents that operate with user consent, design durable workflows, and drive evaluation and cost controls while mentoring peers to raise the bar for production AI at scale.

Qualifications

• 8+ years of engineering experience, including a technical lead role on systems other engineers built on.
• LLM-powered features shipped to real users, such as retrieval-augmented search, extraction or classification. You can walk us through what worked, what failed and how you measured it.
• At least one autonomous, non-conversational agent you took to production: triggered by events, schedules or data, and completing multi-step work without a person in a chat window.
• Agents you built that act for a user in other systems, including delegated permissions, consent and confirmation flows, and undo.
• Hands-on experience with durable execution or workflow Temporal is strongly preferred; Restate, Inngest, AWS Step Functions or similar also count.
• Deep command of prompt design, structured outputs, tool use, Model Context Protocol, embeddings and vector search, and context-window management.
• A track record of evaluation and observability for AI in production: tracing, cost metering and quality measurement without a human grading every
• Strong backend fundamentals in Python or TypeScript, PostgreSQL, and distributed systems on AWS with Docker and Kubernetes.

Responsibilities

• Own the architecture of Ruxlo's AI systems end to end: model access and routing, retrieval, prompt and tool layers, agent runtime, evaluation and cost
• Ship LLM-powered product features, including natural language search, summarization, structured extraction and classification over property, ownership and contractor records.
• Ship autonomous background agents that verify, reconcile and enrich records and keep them fresh.
• Ship agents that act on a user's behalf, such as requesting quotes, following up with contractors, importing work history and filing documents, with the user's consent at each consequential step.
• Design durable, long-running agent workflows on a durable-execution engine such as Temporal, with retries, timeouts, idempotent tool calls and safe resume after failure.
• Stand up evaluation for every AI feature: golden datasets, offline evaluation, regression gates in continuous integration and production sampling.
• Set the standards for safe AI use, including prompt-injection defense, least-privilege tool access, delegated authority scoped to what the user could do themselves, and audit trails the user can review.
• Make sound build-versus-buy calls across model providers, frameworks and vector stores, and treat cost and latency as first-class constraints alongside
• Build shared AI tooling, skills and Model Context Protocol servers, and mentor engineers on building with AI.

Skills

Excellent communication

Independent worker

Ambiguity tolerance

Ownership

AI tools usage

Decision making

Cross-functional collaboration

Open to feedback

Tools

Python

TypeScript

PostgreSQL

Docker

Kubernetes

AWS

Job description

Ruxlo is hiring a Staff Software Engineer, Applied AI to define the technical strategy for integrating AI across our real estate platform. You will design end-to-end AI systems, from model access to agent runtimes, and collaborate across engineering teams to ship robust AI-powered features.

You will build autonomous agents that operate with user consent, design durable workflows, and drive evaluation and cost controls while mentoring peers to raise the bar for production AI at scale.