GenAI Engineer Marketing Data Chatbot

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Gen AI
Chatbot
RAG (Retrieval-Augmented Generation)
Graph Neural Networks (GNNs)

Job Details

Job Title: GenAI Engineer Marketing Data Chatbot Location: REMOTE Job Type: Long Term Contract

Job Summary:
We are seeking a GenAI Engineer to build and deploy a Marketing Data Chatbot that delivers real-time insights from marketing data. The ideal candidate should have strong experience in Generative AI (GenAI), LLMs, RAG (Retrieval-Augmented Generation), and chatbot development. This role requires working with marketing datasets, integrating with CRM tools, and deploying solutions on cloud platforms.

Key Responsibilities:
Develop and deploy AI chatbots capable of providing marketing insights using LLMs (GPT-4, Claude, Gemini).
Implement RAG (Retrieval-Augmented Generation) using vector databases (FAISS, Pinecone, Weaviate).
Fine-tune LLMs, build embeddings, and optimize prompt engineering for accurate responses.
Integrate chatbots with marketing data sources like Google Analytics, Salesforce, Marketo, etc.
Deploy solutions using cloud platforms (AWS/Google Cloud Platform/Azure) and containerize using Docker/Kubernetes.
Work closely with marketing and data teams to align chatbot outputs with business goals.

Required Qualifications:
Bachelor s/Master s degree in Computer Science, AI, Data Science, or related field.
3+ years of experience in Generative AI, Chatbot Development, and LLM fine-tuning.
Strong proficiency in Python, Hugging Face, TensorFlow, PyTorch.
Experience with vector databases (FAISS, Pinecone, Weaviate) and cloud platforms.
Hands-on experience in RAG (Retrieval-Augmented Generation) and embedding models.
Proven ability to deploy AI solutions for marketing data insights.

Preferred Qualifications:
Experience with multimodal AI (text, audio, vision).
Familiarity with Graph Neural Networks (GNNs).
Prior work on AI-driven voice/chatbots for marketing use cases.

Key Skills:
Generative AI (GenAI) | LLM Fine-tuning | Prompt Engineering | Chatbot Development
RAG (Retrieval-Augmented Generation) | Vector Databases | Cloud Deployment (AWS/Google Cloud Platform/Azure)
API Integration | Marketing Data Insights | Containerization (Docker/Kubernetes)

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