PulteGroup is looking to leverage AI and intelligent automation to improve developer productivity and create enterprise solutions. This involves developing and evaluating AI coding assistants, agentic AI workflows, and applications that utilize large language models (LLMs).
Requirements
- AI Coding Assistants powered by LLMs (such as GPT, Claude, or custom models)
- agentic AI workflows
- frameworks like LangChain, AutoGen, CrewAI, or similar tools for LLM orchestration
- prompt engineering strategies
- retrieval-augmented generation (RAG) pipelines
- knowledge base integration
- multi-agent systems
Responsibilities
- Work collaboratively to design, integrate, and evaluate AI Coding Assistants powered by LLMs (such as GPT, Claude, or custom models) with the goal of automating code generation, code review, testing, and enhancing developer productivity.
- Design, implement, and benchmark agentic AI workflows where autonomous software agents perform multi-step reasoning, orchestration, and interaction with APIs, databases, and cloud services.
- Experiment with frameworks like LangChain, AutoGen, CrewAI, or similar tools for LLM orchestration and automating agent behaviors.
- Develop and refine prompt engineering strategies to optimize LLM performance for specific coding, review, testing, documentation, or workflow automation tasks.
- Support R&D and deployment of retrieval-augmented generation (RAG) pipelines, knowledge base integration, and multi-agent systems.
- Document design decisions, experimental results, and best practices for the integration and evaluation of LLM-based tools.
Other
- Must be at least 18 years of age.
- Must have authorization to work in the United States.
- Our various Operations Internships are ideal for candidates pursuing degrees in Business Administration, Finance, Construction Management, Engineering, Project Management, Marketing, Communication, Architecture,
