GenAI Solutions Engineer – Enterprise AI & LLM Workflows

Zoho

Indianapolis (IN)

On-site

USD 90,000 - 130,000

Full time

7 days ago
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Job summary

RADcube in Carmel, Indiana, is seeking a skilled GenAI engineer to build enterprise AI applications using its data, documents and business knowledge. You will work hands-on with Python, LLMs, RAG and vector databases to create scalable AI solutions that unlock measurable value for diverse industries.

The role requires collaborating with business teams to identify new use cases, evaluate AI workflows, and ensure secure, governance-aligned deployments across platforms such as Databricks, LangChain

Qualifications

  • Proven ability to build enterprise GenAI applications from organizational data and documents.
  • Hands-on experience with Python and large language models.
  • Knowledge of data governance and enterprise AI security is a plus.

Responsibilities

  • Build enterprise GenAI apps using organizational data, docs and business knowledge.
  • Hands-on Python, LLMs, RAG, embeddings, vector search, and prompt engineering.
  • Experience with APIs/microservices, LLM evaluation, and agentic AI workflows.
  • Databricks, MLflow, NVIDIA AI, LangChain/LangGraph, or LlamaIndex preferred.
  • Knowledge graphs, model serving, AI security and governance are pluses.
  • Engage with business teams to identify new AI use cases.

Skills

Python
LLMs
RAG
Embeddings
Vector databases
Prompt engineering
APIs
Microservices
LLM evaluation
Agentic AI

Tools

Databricks
MLflow
NVIDIA AI
LangChain/LangGraph
LlamaIndex

Job description

RADcube in Carmel, Indiana, is seeking a skilled GenAI engineer to build enterprise AI applications using its data, documents and business knowledge. You will work hands-on with Python, LLMs, RAG and vector databases to create scalable AI solutions that unlock measurable value for diverse industries.

The role requires collaborating with business teams to identify new use cases, evaluate AI workflows, and ensure secure, governance-aligned deployments across platforms such as Databricks, LangChain

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