GenAI Backend Engineer — AWS Bedrock & Python

Insight Global; Newark (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Insight Global in Newark, NJ is seeking a hands-on Generative AI engineer to design, develop, and deploy AI agents using AWS-native technologies. You will build backend services in Python and work across teams to integrate AI into enterprise platforms.

This role emphasizes architecture discussions, proof of concepts, and production implementations. The ideal candidate thrives in a fast-paced environment, has strong problem-solving skills, and is eager to learn emerging AI technologies.

Qualifications

• Hands-on Generative AI development experience, particularly building AI agents.
• Strong software engineering background across the software development lifecycle.
• Experience developing cloud-native applications.
• Strong Python skills (identified as the primary programming language).
• Experience integrating APIs, tools, and agent-based solutions.
• Ability to work in an enterprise-scale environment.

Responsibilities

• Design, develop, and deploy AI agents using AWS-native technologies.
• Build and maintain backend services and agent orchestration layers in Python.
• Utilize Amazon Bedrock and AgentCore to develop scalable GenAI applications.
• Collaborate with multiple engineering teams to integrate AI capabilities into enterprise platforms.
• Contribute to architecture discussions, proof of concepts, and production implementations.
• Drive continuous improvement and innovation across AI initiatives.
• Stay current with emerging AI technologies and industry best practices.

Skills

Generative AI

Python

Cloud-native

API integration

Agent-based systems

Software engineering

Enterprise-scale

Cross-team collaboration

Tools

AWS Bedrock

AgentCore

JavaScript/TypeScript

Job description

Insight Global in Newark, NJ is seeking a hands-on Generative AI engineer to design, develop, and deploy AI agents using AWS-native technologies. You will build backend services in Python and work across teams to integrate AI into enterprise platforms.

This role emphasizes architecture discussions, proof of concepts, and production implementations. The ideal candidate thrives in a fast-paced environment, has strong problem-solving skills, and is eager to learn emerging AI technologies.