Generative AI Engineer

HubSync; Nashville (TN); On-site; USD 110,000 - 160,000; Full time

Job summary

HubSync is seeking a Mid-Senior level Generative AI Engineer to build and lead the development of innovative AI systems. In this role, you'll partner with product leadership to prototype and create production-ready applications, utilizing cutting-edge models and tools. Ideal candidates will possess strong engineering skills, experience in generative AI, and a passion for driving impactful technology forward in a dynamic startup environment.

Qualifications

• Hands-on experience building GenAI products with real user-facing impact.
• Deep understanding of LLMs, prompt engineering, RAG, and agentic workflows.
• Strong software engineering best practices—writes clean, maintainable, production-grade code.

Responsibilities

• 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 and agentic frameworks.
• Own the 0-to-1 architecture for RAG, agentic workflows, and document intelligence pipelines.
• Experiment, build, and iterate rapidly, deploying MVPs based on real user feedback.
• Build intelligent document processing (IDP) systems.

Skills

Generative AI

LLMs

Prompt Engineering

RAG

Software Engineering

AWS Cloud Infrastructure

Tools

LangChain

LlamaIndex

Hugging Face

Pinecone

Weaviate

FAISS

Job description

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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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Sales, General Business, and Education

Industries

• Wireless Services, Telecommunications, and Communications Equipment Manufacturing

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