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Job Title- AI Engineer

Location- Columbus, OH

Salary Range- 80k to 90k

 Entry-Level AI Engineer – Job Description
Role Overview

We are seeking an AI Engineer to contribute to the design, development, and deployment of Generative AI solutions and agentic AI applications. This role offers the opportunity to work on cutting-edge AI technologies, cloud platforms, API integrations, and enterprise-scale deployments while collaborating with cross-functional teams to deliver innovative solutions.

Key Responsibilities
Build and fine-tune autonomous AI agents.
Develop multi-step, agentic AI workflows.
Deploy AI applications and microservices via event-driven infrastructure.
Craft effective prompts and implement Retrieval-Augmented Generation (RAG) solutions.
Build and deploy applications through CI/CD pipelines.
Build and utilize APIs for integration with other applications.
Write clean, maintainable Python code for integrating AI outputs with enterprise APIs and databases.
Qualifications and Specialization
Programming proficiency in Python, Java, and SQL for backend integration and data handling.
Experience or exposure to building applications with LangChain for LLM interactions and LangGraph for structured, multi-agent workflows.
Exposure or experience with AWS Bedrock and Copilot Studio.
Preferred Technical Skills
Python
Java
CI/CD deployment
AWS technology stack
AWS Lambda
DynamoDB
Unique Experience from This Role

This role provides the opportunity to work with:

Python and Java-based application development.
CI/CD-driven deployment practices.
AWS cloud technologies and services.
Serverless architectures using AWS Lambda.
Database solutions including DynamoDB.
Modern Generative AI frameworks and enterprise AI integration patterns.
Learning and Growth Opportunities
Strong experience in Generative AI project development.
Hands-on experience in AI agent development and deployment.
Exposure to enterprise-scale AI applications and cloud-native architectures.
Experience working with event-driven systems, APIs, databases, and modern DevOps practices.
Opportunity to develop expertise in agentic workflows, RAG implementations, and LLM-powered solutions.