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Generative AI Developer

Generative AI Developer

HubSyncNashville-Davidson, Tennessee, United States
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We’re looking for a Generative AI Engineer to be a strategic partner to product, a hands-on technical lead, and a core driver of what we build and how we build it. If you’re excited by building GenAI systems from 0 to 1—we’d love to talk.

What You’ll Do

  • Partner closely with product leadership to turn early ideas into prototypes, and prototypes into production-ready GenAI applications.
  • Design and build full-stack AI systems , leveraging the latest LLMs (GPT-4, Claude, Mistral, LLaMA, etc.) and agentic frameworks (e.g., LangGraph, CrewAI).
  • Own the 0-to-1 architecture for RAG, agentic workflows, and document intelligence pipelines—across retrieval, orchestration, prompting, and output handling.
  • Experiment, build, and iterate rapidly , deploying MVPs and evolving them based on real user feedback.
  • Build intelligent document processing (IDP) systems—extracting, understanding, and generating insights from complex documents.
  • Evaluate and benchmark models - Rapidly test different models, prompts, and configurations to optimize performance for target tasks.
  • Help shape our AI strategy and tech roadmap , staying on top of what’s emerging in AI and identifying what we should adopt early.

What We’re Looking For

  • Collaborative and comfortable working in a fast-paced startup environment.
  • Hands-on experience building GenAI products with real user-facing impact.
  • Deep understanding of LLMs, prompt engineering, RAG, and agentic workflows .
  • Familiarity with tools like LangChain, LlamaIndex, Hugging Face , and vector DBs (Pinecone, Weaviate, FAISS, etc.).
  • Experience working with LLMs via APIs (OpenAI, Anthropic, etc.) and / or deploying open-source models .
  • Strong software engineering best practices —you write clean, maintainable, production-grade code.
  • Comfort with AWS cloud infrastructure

    • Bonus Points For

  • Experience with intelligent document processing (IDP) , form understanding, or document-based retrieval.
  • Prior work using agentic frameworks (LangGraph, CrewAI, AutoGen).
  • Knowledge of NLP techniques , embeddings, and LLM evaluation metrics.
  • Background in applied ML / AI research or AI product development at an early-stage company.
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    Ai Generative Ai • Nashville-Davidson, Tennessee, United States