AI Agent Developer

Overview

We are Lennar. Lennar is one of the nations leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.

Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future.

• Collaborate with stakeholders (product owners, business analysts, and engineers) to identify use cases for AI agent development and automation opportunities.
• Contribute to the design of agent personas/roles, workflows, including decision logic, triggers, and escalation paths/human-in-the-loop rules.
• Build and configure AI agents using LLMs, retrieval-augmented frameworks, orchestration tools and relevant APIs; ensure their integration with internal systems, data sources, and external services.
• Develop robust prompt engineering strategies, tool invocations, memory/context management, and monitoring mechanisms for agents to act effectively and reliably.
• Test, iterate and validate agent behavior under real-world conditions: unit tests, scenario simulations, edge-case handling, performance and safety monitoring.
• Deploy agents into production environments, set up monitoring/observability (logs, metrics, usage dashboards), handle versioning, drift detection, and lifecycle management.
• Maintain agents' post-deployment: identify improvements, retrain or fine-tune models or prompts, refine workflows, manage feedback/human-in-loop interventions.
• Ensure governance, compliance, security and ethical considerations are baked into agent design (data access, audit trails, output safety, escalation protocols).
• Document agent specifications, workflow diagrams, user guides, change logs, and training materials for internal teams.
• Stay current with the rapidly evolving AI/agent space (LLMs, multi-agent orchestration, emerging standards, frameworks) and bring best practices into the organization.

• Bachelors degree in Computer Science, Engineering, Information Systems, Industrial Engineering, Data Science, Business Analytics in AI or AI, or related technical field; advanced degree preferred.
• 2-4+ years of experience in software engineering, AI/ML development, or automation, with at least 1 year working with LLMs and conversational AI.
• Strong programming proficiency in Python and/or JavaScript/Type Script, with demonstrated ability to build production-ready applications.
• Proficient SQL skills for querying, transforming, and joining complex enterprise datasets across multiple systems.
• Understanding of AI agent concepts including LLMs, retrieval-augmented generation (RAG), prompt engineering best practices, and agent orchestration frameworks.
• Experience with cloud platforms, particularly AWS services (Lambda, S3, Bedrock) or similar cloud infrastructure.
• Hands-on experience with Palantir Foundry or demonstrated ability to quickly learn enterprise data platforms.
• Proven ability to integrate disparate systems through APIs, webhooks, and data pipelines.
• Experience designing for production environments: scalability, reliability, monitoring, error-handling, and performance optimization.
• Strong problem-solving mindset with the ability to translate complex business requirements into functional AI workflows.
• Excellent communication skills to collaborate with non-technical stakeholders and present technical concepts clearly.

• Direct experience building and deploying AI agents within Palantir Foundry (Code Work spaces, AIP SDK, AIP Actions).
• Familiarity with advanced agent frameworks and tools:
  Lang Chain, Llama Index, OpenAI function calling patterns, or similar.
• Experience with Model Context Protocol (MCP) or other emerging standards for AI tool integration.
• Knowledge of multi-agent orchestration and persona-based agent architectures.
• Familiarity with enterprise business systems (ERP, CRM, HRIS) and workflow automation across corporate functions.
• Experience with AWS Bedrock for deploying and managing foundation models.
• Background in MLOps practices including model monitoring, drift detection, and A/B testing.
• Understanding of responsible AI principles and experience implementing safety guardrails.

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.

This description outlines the basic responsibilities and requirements for the position noted. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Life at Lennar:
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