Fullstack & Applied AI Engineer

LennarBentonville, AR
433d$30,000 - $30,000

About The Position

The Fullstack & Applied AI Engineer at Lennar Homes is responsible for designing, developing, and deploying full-stack applications that integrate AI capabilities, particularly large language models (LLMs) and natural language processing (NLP). This role involves collaboration with data scientists and AI engineers to create intelligent, data-driven applications that enhance business operations and improve customer experiences.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in full-stack development, including both Front End and Back End technologies.
  • Experience working with large language models (LLMs) like GPT, BERT, or similar frameworks, including integrating them into production applications.
  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Strong understanding of natural language processing (NLP) techniques, including text generation, sentiment analysis, and summarization.
  • Proficiency in Front End development using JavaScript frameworks (React, Angular, or Vue.js).
  • Expertise in Back End development using Node.js, Python, or Java.
  • Experience with cloud platforms (AWS, Azure, GCP) for deploying scalable applications, including serverless architectures.
  • Familiarity with databases (both SQL and NoSQL) and experience with data modeling.
  • Experience with API design, microservices architecture, and CI/CD pipelines.
  • Strong problem-solving skills, particularly when working with complex AI/ML and LLM-based systems.

Nice To Haves

  • Experience with Palantir or similar advanced data platforms.
  • Familiarity with big data technologies like Apache Spark, Hadoop, or Kafka.
  • Experience with containerization technologies like Docker or Kubernetes.
  • Familiarity with deploying and fine-tuning LLMs for specific enterprise use cases.
  • Experience in industries such as construction, manufacturing, or logistics is a bonus.

Responsibilities

  • Design and implement full-stack applications that integrate LLMs and other AI/ML models into both Front End and Back End systems.
  • Collaborate closely with the Data & Analytics team to build applications that leverage AI models, including natural language processing, generative AI, and machine learning algorithms.
  • Develop intuitive Front End interfaces using modern JavaScript frameworks (React, Angular, or Vue.js) that incorporate AI-powered features.
  • Build scalable and efficient Back End systems using Node.js, Python, or Java, integrating LLMs and other AI models.
  • Work with cloud platforms (AWS, Azure, GCP) to deploy AI-driven applications with a focus on performance, scalability, and security.
  • Partner with data scientists to integrate and optimize LLMs for various use cases, including text generation, summarization, and natural language understanding.
  • Develop and consume RESTful APIs for AI model deployment and integration across multiple systems.
  • Drive innovation by exploring and incorporating the latest advancements in LLMs, NLP, and AI frameworks.
  • Ensure the proper deployment and monitoring of AI models in production, focusing on reliability and model performance.
  • Collaborate with cross-functional teams, including data engineers, UX/UI designers, and business stakeholders, to deliver AI-enhanced software solutions.

Benefits

  • Health insurance (Medical, Dental, Vision)
  • 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%
  • Paid Parental Leave
  • Education Assistance Program
  • Adoption Assistance up to $30,000
  • Vacation policy (up to three weeks annually)
  • Generous Holiday, Sick Leave, and Personal Day policies
  • New Hire Referral Bonus Program
  • Home Purchase Discounts
  • Everyone's Included Day

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Construction of Buildings

Education Level

Bachelor's degree

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