Generative AI Engineer (Gen AI)

Hybrid in Atlanta, GA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Java
  • LangChain
  • Docker
  • Python
  • Software Engineering
  • Machine Learning Operations (ML Ops)
  • Kubernetes
  • LLM

Summary

Job Summary

We are looking for an experienced Generative AI Engineer with 8–10 years of overall software engineering experience and strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, and scalable AI application development. The candidate will design, develop, and deploy enterprise-grade Gen AI solutions using modern AI frameworks and cloud platforms.

Key Responsibilities

  • Design and develop enterprise Generative AI solutions using OpenAI, Claude, Gemini, Llama, Mistral, or Hugging Face models.
  • Build and optimize RAG pipelines using vector databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
  • Develop Agentic AI workflows using LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
  • Fine-tune, evaluate, and deploy LLMs for business use cases.
  • Integrate AI models with enterprise applications through APIs and microservices.
  • Develop scalable backend services using Python, FastAPI, Flask, or Node.js.
  • Implement prompt engineering, model evaluation, guardrails, and AI safety practices.
  • Work with structured and unstructured data pipelines for AI applications.
  • Deploy AI applications on AWS, Azure, or Google Cloud Platform environments.

Required Skills

  • Strong programming experience in Python OR Java.
  • Hands-on experience with LLMs and Generative AI frameworks.
  • Experience with:
    • LangChain / LangGraph
    • RAG Architecture
    • Prompt Engineering
    • REST APIs & Microservices
  • Knowledge of NLP, Transformers, embeddings, and fine-tuning concepts.
  • Experience with Docker, Kubernetes, CI/CD, and MLOps.
  • Strong cloud experience in AWS, Azure, or Google Cloud Platform.
  • Experience with SQL/NoSQL databases.
  • Understanding of AI governance, security, and responsible AI practices.

Education

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

Nice-to-Have Technologies

  • Hugging Face
  • PyTorch / TensorFlow
  • DSPy
  • LangSmith
  • Neo4j Knowledge Graphs

 

 
 
 
 
 
 
 
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90767670
  • Position Id: 8972275
  • Posted 5 hours ago
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