Associate Generative AI Engineer

Location:
Wayne, PA (Hybrid preferred)

Schedule:
40 hours/week

Type:
Contract-to-Hire

About The Role
Radian is seeking an Associate Generative AI Engineer to help design, build, and deploy enterprise-grade Generative AI solutions across a growing portfolio of business use cases. This role offers hands-on experience with production LLM applications, agentic AI systems, and AWS-based AI architectures, with a clear path to long-term growth.

This position is ideal for an engineer who has foundational experience with modern AI/ML development and wants to deepen their expertise in LLMs, Retrieval-Augmented Generation (RAG), and intelligent automation within a real-world enterprise environment.

What You’ll Do

• Design, develop, and deploy Generative AI solutions using leading LLMs such as GPT, Claude, and Gemini
• Build and integrate AI-driven applications within the AWS ecosystem, leveraging AI/ML services for model usage, governance, and scalability
• Contribute to the development of agentic AI systems that enable reasoning, planning, and automated task execution

• Develop use cases including:

• Document processing and summarization

• Retrieval-Augmented Generation (RAG) solutions

• Intelligent workflows and reasoning pipelines

• Implement and support RAG frameworks and vector databases

• Write clean, scalable code primarily in Python, with some development in Node.js

• Optimize and fine-tune models and AI workflows for performance, cost-efficiency, and reliability

• Troubleshoot AI model behaviors, integrations, and production issues

• Collaborate with Program Managers, engineers, and external consulting partners on AI initiatives

• Participate in Agile ceremonies and contribute to iterative solution delivery

• Document AI architectures, workflows, and technical implementations

• Communicate technical concepts and AI capabilities to non-technical stakeholders

Required Qualifications

• 2+ years of experience building or integrating Generative AI or AI/ML solutions
• Hands-on experience working with Large Language Models (LLMs)
• Experience developing solutions within the AWS cloud environment
• Strong proficiency in Python
• Working knowledge of Node.js
• Experience with RAG architectures and vector databases
• Understanding of AI application design, data pipelines, and model integration patterns
• Ability to work in a fast-paced, collaborative Agile environment

Preferred Qualifications

• Experience in financial services, insurance, or regulated industries
• Exposure to large-scale system modernization or claims platform transformation initiatives
• Familiarity with agentic AI or autonomous AI workflows
• Experience with AI-assisted development tools (e.g., GitHub Copilot)
• Experience working with external vendors or consulting partners

Work Environment

• Hybrid preferred, candidates within commuting distance to Wayne, PA with occasional onsite presence
• Remote candidates considered if able to work EST hours
• Standard 40-hour work week, with occasional additional hours based on project needs

• Hybrid preferred, candidates within commuting distance to Wayne, PA with occasional onsite presence
• Remote candidates considered if able to work EST hours
• Standard 40-hour work week, with occasional additional hours based on project needs