Sr. AI Fullstack Developer

Insight Global
St. Louis Park, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

St. Louis Park, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Cloud Computing
Continuous Integration
Python
Node.js
Software Engineering
Systems Integration
Web Applications
Enterprise Software Applications
React
Large Language Models
Backend
Vue.js
Angular
Front End Software Development
Virtual Agents
Api Design
Serverless Computing
Microservices

Job description

We are seeking a Senior AI Full Stack Developer to design, build, and scale modern web applications powered by artificial intelligence. This role will be responsible for developing end-to-end solutions across the front end, back end, APIs, and cloud infrastructure, while also integrating AI agents into enterprise applications and workflows. The ideal candidate has strong full stack engineering experience, a solid understanding of cloud-native development, and hands-on exposure to agentic AI frameworks or platforms. Experience with AWS Bedrock, and ideally AWS Bedrock AgentCore, is highly preferred. This individual should be comfortable working in a fast-paced environment, collaborating with product, architecture, and business stakeholders to turn AI use cases into secure, reliable, and production-ready applications. In addition to hands-on development, this role will play a key part in scaling the team by assisting with technical interviews, evaluating candidates' coding

Requirements

and system design capabilities, and helping establish a high technical bar as the organization continues to grow its AI engineering function., 7+ years full stack development experience, including modern front-end frameworks such as React, Angular, or Vue, and back-end development using Node.js, Python, Java, or similar technologies.

-3+ years Hands-on experience building or integrating AI-powered applications, including AI agents, conversational interfaces, workflow automation, or LLM-based solutions.

-Experience working with cloud platforms, preferably AWS, including services related to application development, APIs, serverless architecture, security, and deployment.

-Knowledge of AWS Bedrock and/or AWS Bedrock AgentCore, including the ability to integrate foundation models, agents, tools, and enterprise data sources into applications.

-Strong understanding of API design, microservices, CI/CD, testing, and production support for scalable, secure enterprise applications, along with experience participating in or leading technical interview processes.

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