Compass

Senior Software Engineer I

Compass$149K — $166K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in software engineering with production-grade applications.
  • 1+ years of hands-on experience with LLMs and related technologies.
  • Demonstrated ability to collaborate with cross-functional teams and stakeholders.
  • Strong knowledge of secure coding practices and data privacy protocols.
  • Experience with RESTful/GraphQL APIs and message brokers like Kafka.
  • Proficient in deploying applications in cloud environments (AWS) and using DevOps tools.
  • Pragmatic approach to problem-solving with a focus on business value.

Responsibilities

  • Build integrations for departmental high-volume tasks by collaborating with SMEs.
  • Implement advanced AI application patterns such as multi-agent orchestration.
  • Develop integrations using Tier 1 AI Platform APIs and contribute to infrastructure improvements.
  • Ensure all integrations comply with data security and privacy standards.
  • Review code and establish rigorous testing frameworks for LLM outputs.
  • Mentor engineers in your team and foster an inclusive engineering culture.
  • Monitor and enhance operational metrics for continuous improvement.

Benefits

  • Participation in incentive programs including cash, equity, or commissions.
  • Paid vacation, holidays, sick time, and parental leave.
  • Comprehensive medical, dental, and vision benefits, including tele-health.
  • 401(k) plan and flexible spending accounts (FSAs).
  • Life and disability insurance, and pet insurance included.
  • Access to Maven for new parent support, and Carrot for fertility benefits.
  • UrbanSitter caregiver referral network and an Employee Assistance Program.
Full Job Description
As a 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 (such as Finance, Legal, HR, and 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 the 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). Plus 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.

Do your best work, be your authentic self.

About Compass

Compass is a real estate technology company that provides an online platform for buying, selling, and renting real estate properties. The company was founded in 2012 by Ori Allon and Robert Reffkin and is headquartered in New York City. Compass has raised over $1.5 billion in funding and has expanded to over 350 offices in the United States, Canada, and Europe. The company's platform uses artificial intelligence and machine learning to help real estate agents better serve their clients and streamline the buying and selling process. Compass has been recognized as one of the fastest-growing real estate companies in the world and has received numerous awards for its innovative technology and exceptional customer service.
Learn more about Compass
Size
19,000 employees
Market Cap
$910.4 million
Industry
Founded
1941
5 Year Trend
+102.9%
NASDAQ

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