Senior AI Engineer

Crexi; Los Angeles (CA); On-site; USD 179,000 - 241,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Flexible work structure

Job summary

Crexi is seeking an AI Engineer to design multi-step agentic workflows that transform user intent into real actions using LangGraph and LangChain. You will build retrieval pipelines over Crexi's proprietary CRE data and monitor systems for reliability and business impact.

Join Crexi in Playa Vista to work with Anthropic frontier models on AWS Bedrock, implementing guardrails, explainability, and scalable agentic capabilities for brokers, appraisers, lenders, and investors.

Qualifications

• 5+ years of professional software development experience in production environments.
• 2+ years hands-on building LLM-powered applications in production.

Responsibilities

• Design and implement multi-step agentic workflows using LangGraph/LangChain to move from user intent to completed actions.
• Build evaluation frameworks and production monitoring (offline evals, human-in-the-loop annotation).
• Build context/retrieval pipelines over Crexi's proprietary CRE data for complex queries.
• Work with Anthropic frontier models on AWS Bedrock and Bedrock AgentCore for runtime, identity, and memory.

Skills

LLM-powered apps

Agentic architectures

Python

LangGraph orchestration

RAG retrieval design

Cloud/AWS

CI/CD (GitHub/GitLab)

Evaluation pipelines

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Claude Code

Codex

AWS Bedrock

Job description

Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction— Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users.

Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars:Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success.

About the Role:

The AI Engineer builds the agentic AI systems that power Crexi's platform, including orchestration, retrieval, and action layers grounded in Crexi's proprietary commercial real estate data. The role builds multi-step agentic workflows that understand user intent, orchestrate the right capabilities, and complete real work, not just answer questions, using tools like LangGraph and AWS Bedrock AgentCore . It exists to extend Crexi's AI-powered research, document generation, and zoning intelligence into unified, trustworthy agentic experiences for brokers, appraisers, lenders, and investors.

What You'll Do:

A typical day may include:

• Design and implement multi-step agentic workflows, including routing, planning, tool use, and state management, using frameworks like LangGraph/LangChain to move from user intent to real, completed actions.
• Build evaluation frameworks and production monitoring (offline evals, human-in-the-loop annotation) to measure quality, reliability, and business outcomes, not just model metrics.
• Build context and retrieval pipelines over Crexi's proprietary CRE data, handling the compound, qualitative queries that structured filters can't answer.
• Work primarily with Anthropic frontier models on AWS Bedrock, using Bedrock AgentCore for agent runtime, identity, and memory, and helps evaluate open-weight alternatives on cost, latency, and capability.
• Implement guardrails, structured outputs, and graceful ambiguity handling so agentic systems ask for clarification rather than acting on unclear intent, and establishes trace-level observability across LLM calls and tool invocations.
• Leverage agentic coding tools (e.g., Claude Code, Codex) for scaffolding, refactoring, test generation, and debugging, while critically reviewing AI-generated output for correctness, security, and performance.
• Rapidly prototype against real user feedback, partnering with Product and Design, and helps convert successful prototypes into scalable, reusable capabilities.
• Ensure AI outputs are explainable, source-linked, and trustworthy enough to inform real business decisions.

Qualifications:

• 5+ years of professional software development experience in production environments with meaningful scope/ownership, including 2+ years hands-on building LLM-powered applications in production.
• Real experience with agentic architectures (multi-step pipelines, tool/function calling, state machines, memory), ideally with LangGraph or similar orchestration frameworks.
• Strong retrieval design skills: RAG systems, embeddings, vector search, and the judgment to know when retrieval is the problem and when the data is.
• Strong Python proficiency and real-world experience building backend services and APIs in production.
• Experience with cloud infrastructure (AWS preferred) and modern collaborative workflows (GitHub/GitLab, code reviews, CI/CD).
• Demonstrated use of agentic coding tools (e.g., Claude Code, Codex) in a professional workflow, without compromising quality.
• Comfortable operating in ambiguity and fast iteration cycles; experience designing LLM evaluation pipelines (offline evals, production monitoring, human-in-the-loop annotation) is a plus.
• Bachelor’s degree in Computer Scienceor related field, or equivalent practical experience.

Who You Are:

• Thrives in a fast-paced, dynamic environment.
• Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization.
• Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately.
• Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously.
• Self-starter who independently owns their own success and demonstrates strong initiative.
• Responsive, action-oriented, and proactive in identifying and resolving issues.
• Strong problem-solving and creative thinking skills, with the ability to evaluate options and implement effective solutions.
• Effective collaborator and team player, with the ability to work cross-functionally and build strong working relationships.
• Demonstrated ability to handle sensitive and confidential information with the utmost professionalism and discretion.

Why Crexi?

• Rapidly growing startup with a dynamic work environment
• Flexible team structure with the ability to progress in career
• Health, Dental, and Vision insurance
• Collaborative culture and numerous team activities

The anticipated base salary range for candidates who will work in our Playa Vista, California location is $179,000 to $241,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states.

Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.