AI Agent Developer

Lennar

. Embed with corporate function teams to shadow Associates, map workflows, and scope high-impact AI agent use cases .

Posted 10/20/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI agent design and development, including proficiency in LLMs, prompt engineering, and orchestration frameworks. Capable of integrating AI solutions with internal systems while ensuring compliance, security, and ethical considerations are met.

Highest-signal resume keywords

AI Agent DevelopmentPrompt EngineeringPython ProgrammingSQL ProficiencyCloud Platforms (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/ML DevelopmentAutomationProduction-Ready ApplicationsData TransformationUnit TestingPerformance MonitoringError HandlingScalability DesignResponsible AI Principles

Soft Skills

Excellent CommunicationConsultative MindsetCuriosity About Business ProcessesPresentation Skills

Tools & Technologies

LLMsRetrieval-Augmented Generation (RAG)Agent Orchestration FrameworksClaudeCodexGitHubSpotify BackstageAWS LambdaAWS S3AWS Bedrock

Industry Keywords

AI WorkflowsGovernanceComplianceEthical AIBusiness Analytics

Tech Stack

Tools & technologies

AWSCloudJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

Embed with corporate function teams to shadow Associates, map workflows, and scope high-impact AI agent use cases
Advise function leaders by presenting recommendations and framing trade-offs and risks
Design agent personas, roles, workflows, decision logic, triggers, escalation paths, and human-in-the-loop rules
Build and configure AI agents using LLMs, retrieval-augmented frameworks, orchestration tools, and APIs
Integrate agents with internal systems, data sources, and external services
Develop prompt engineering strategies, tool invocations, memory and context management, and monitoring mechanisms
Deliver prototypes and live demos and incorporate business-partner feedback
Test, iterate, and validate agent behavior through unit tests, simulations, edge-case handling, and performance and safety monitoring
Deploy agents to production and establish observability through logs, metrics, usage dashboards, versioning, drift detection, and lifecycle management
Maintain deployed agents by refining prompts, tuning models, improving workflows, and supporting Associate training and enablement
Build governance, compliance, security, and ethical considerations into agent design
Track and report value measures such as hours returned, cycle time reduced, and quality improved
Bring field learnings back to the enterprise as reusable patterns and best practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, AI, or a related technical field; advanced degree preferred
2–4+ years of experience in software engineering, AI/ML development, or automation, with at least one year working with LLMs and conversational AI
Consultative mindset with genuine curiosity about how the business actually works
Excellent communication and presentation skills, including demonstrating working solutions to non-technical audiences and translating business requirements into functional AI workflows
Strong programming proficiency in Python and/or JavaScript/TypeScript, with ability to build production-ready applications
Proficient SQL skills for querying, transforming, and joining complex enterprise datasets
Working understanding of LLMs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration frameworks
Experience with cloud platforms, particularly AWS services such as Lambda, S3, and Bedrock
Hands-on experience with Claude, Codex, GitHub, and Spotify Backstage
Experience designing production environments for scalability, reliability, monitoring, error handling, and performance optimization
Understanding of responsible AI principles and hands-on experience implementing safety guardrails
Ability to handle sensitive Associate and business information
Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs; finger dexterity

Benefits

Comp & perks

Medical, Dental, and Vision coverage
401(k) Retirement Plan with a $1 for $1 Company Match up to 5%
Paid Parental Leave
Associate Assistance Plan
Education Assistance Program
Up to $30,000 in Adoption Assistance
Up to three weeks of vacation annually from the moment of hire
Holiday, Sick Leave, and Personal Day policies
New Hire Referral Bonus Program
Home Purchase Discounts
Everyone’s Included Day