Generative AI Engineer

HubSync; Nashville (TN); Presencial; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Generative AI

LLMs

Prompt Engineering

RAG

Software Engineering

AWS Cloud Infrastructure

Ferramentas

LangChain

LlamaIndex

Hugging Face

Pinecone

Weaviate

FAISS

Descrição da oferta de emprego

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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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