Senior Software Engineer I

Compass Real Estate - Peninsula; New York (NY); On-site; USD 149,580 - 166,200; Full time

Benefits offered by this job

Paid vacation

401(k) plan

Medical benefits

Pet insurance

Job summary

Compass Real Estate - Peninsula is looking for a Senior Software Engineer to drive the enterprise AI strategy. You will integrate advanced AI capabilities into various business operations, ensuring robust workflow automation and security compliance.

The ideal candidate has over 6 years of software engineering experience and proficiency in building applications with LLMs. The role offers a competitive compensation range of $149,580–$166,200 and a comprehensive benefits package.

Qualifications

• 6+ years of professional software engineering experience.
• 1+ years of experience building applications utilizing LLMs.
• Strong understanding of secure coding practices and API authentication.

Responsibilities

• Build robust, automated AI pipelines.
• Implement advanced application-level AI patterns.
• Ensure data security and privacy standards.

Skills

Software engineering experience

GenAI experience

Customer empathy

Data privacy mindset

Distributed systems expertise

Cloud proficiency

Problem solving

Tools

AWS

Docker

Kafka

CI/CD pipelines

RESTful APIs

GraphQL

Job description

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end‑to‑end platform that empowers residential real‑estate agents to deliver exceptional service to seller and buyer clients.

Senior Software Engineer on the Staff AI Enablement Team

You will be a key driver of Compass's enterprise AI strategy as part of a forward‑deployed strike force that partners directly with major business units (Finance, Legal, HR, Brokerage Operations, etc.) to produce game‑changing, automated workflows. In this role, you will bridge the gap between complex AI capabilities and real‑world business problems. You will design, build, and deploy direct integrations, custom agents, and automated pipelines that allow our departments to transition from simple chat interfaces to deep, programmatic workflow automations. You will act as a critical technical anchor ensuring code quality, mentoring engineers, enforcing security compliance, and maintaining a high delivery velocity.

Responsibilities

• Build Direct Business Integrations: Partner with departmental Subject Matter Experts (SMEs) to translate manual, high‑volume operational tasks (e.g., transaction management, legal review, financial reconciliation) into robust, automated AI pipelines.
• Orchestrate Agentic Workflows: Implement advanced application‑level AI patterns, including multi‑agent orchestration, RAG pipelines, semantic document routers, and state‑machine‑driven automation.
• Utilize and Inform Platform Primitives: Build your integrations on top of our Tier 1 AI Platform APIs, providing continuous feedback loops to the Platform Team to help shape company‑wide infrastructure and gateway design.
• Enforce Rigorous Security Compliance: Ensure all departmental integrations adhere to absolute data security and privacy standards, keeping sensitive company and customer PII strictly protected.
• Maintain Code Quality & Governance: Review code submissions, establish robust testing frameworks for LLM outputs, and ensure that our rapid execution model does not accumulate technical debt.
• Unblock and Mentor Engineers: Provide technical guidance to engineers within your dedicated pod, fostering a high‑performing and inclusive engineering culture.
• Focus on Continuous Improvement: Design, monitor, and improve operational metrics and logging for your integrations to quickly troubleshoot, resolve defects, and optimize user experience.

Requirements

• Strong Application & Backend Engineering Background: 6+ years of professional software engineering experience, with a proven track record of designing, building, and operating production‑grade web applications, API integrations, or business‑critical backend services.
• Hands‑on GenAI Experience: 1+ years of experience building applications utilizing LLMs, including familiarity with prompt engineering, RAG, vector databases, and popular orchestration frameworks (e.g., LangChain, LlamaIndex, LangGraph, AutoGen).
• High Customer Empathy & Collaboration: Proven experience working closely with cross‑functional stakeholders, non‑technical partners, or product managers to scope, design, and launch user‑centric software solutions.
• Data Privacy & Security Mindset: A strong understanding of secure coding practices, API authentication (OAuth), and protocols for handling highly sensitive or regulated business data (PII, financial records).
• Distributed Systems & Integration Expertise: Solid experience with RESTful/GraphQL APIs, message brokers (e.g., Kafka, RabbitMQ), asynchronous job processing, and integrating third‑party SaaS platforms.
• Cloud & DevOps Proficiency: Comfortable deploying and monitoring applications in AWS or similar cloud environments, utilizing Docker, CI/CD pipelines, and modern infrastructure observability tools.
• Pragmatic Problem Solver: Ability to make smart technical trade‑offs, prioritizing immediate business value and operational stability over speculative, over‑engineered architectures.

Compensation

The base pay range for this position is $149,580–$166,200; however, base pay offered may vary depending on job‑related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Perks That You Need To Know About

Participation in our incentive programs (which may include eligible cash, equity, or commissions). Paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele‑health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.

As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.

Notice for California Applicants: Los Angeles County Fair Chance Notice