Generative AI Engineer

INA Solution

Columbus (OH)

On-site

USD 120,000 - 180,000

Full time

45 hours ago
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Job summary

INA Solution in Columbus, OH is seeking an experienced AI Engineer to design, develop, deploy, and optimize enterprise AI applications using LLMs, Generative AI, RAG, and AI agents. The ideal candidate will have strong Python and ML engineering skills with hands-on experience building production-ready AI solutions.

You will work on end-to-end AI deployments, integrate vector stores and retrieval evaluation, and collaborate with teams to scale AI capabilities across the organization.

Qualifications

  • Strong Python and software engineering experience.

Skills

Python
LLMs/Generative AI
RAG
LangChain/Agents SDK
PyTorch/Hugging Face
Azure OpenAI/AWS Bedrock
Vector stores
APIs/Cloud deployment
Version control

Education

Bachelor’s degree in CS/Engineering/Data Science/Math or related field

Tools

LangChain
LangGraph
Agents SDK
PyTorch
Hugging Face

Job description

Location: Columbus, OH (On-site for now)

Job Type: Full-Time/ Direct Hire/ Permanent

Job Summary:

We are seeking an experienced AI Engineer to design, develop, deploy, and optimize enterprise AI applications using LLMs, Generative AI, RAG, and AI agents. The ideal candidate will have strong Python and ML engineering skills with hands-on experience building production-ready AI solutions.

Required Skills:

  • Strong Python and software engineering experience.
  • Hands‑on experience with LLMs / Generative AI and production AI applications.
  • Experience with RAG, embeddings, vector databases, and retrieval evaluation.
  • Experience with LangChain, LangGraph, or Agents SDK.
  • Experience with PyTorch and/or Hugging Face.
  • Experience with Azure OpenAI and/or AWS Bedrock.
  • Knowledge of Snowflake/Databricks and Pinecone or similar vector stores.
  • Strong understanding of APIs, cloud deployment, testing, security, and version control.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field, or equivalent experience.
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