Generative AI Developer

Nashville, TN

Full Time

Mid Level

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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Do you have hands-on experience building GenAI products with real user-facing impact.*

On a scale of 1-10, what is your understanding of LLMs, prompt engineering, RAG, and agentic workflows.*

Which tools like LangChain, LlamaIndex, Hugging Face, and vector DBs are you most familiar with (Pinecone, Weaviate, FAISS, etc.).?*

How many years experience do you have working with LLMs via APIs (OpenAI, Anthropic, etc.) and/or deploying open-source models.*

On a scale of 1-10 how well will you fit into a startup environment?*

Do you live in and Nashville and if not are you willing to move?*

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Do you have at least 3 years experience in implementing ai in a production (non research) capacity?*

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Generative AI Developer

What You’ll Do

What We’re Looking For

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