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Full Stack AI engineer

Quality IT Source, LLC
New York, NY, United States
14 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Application Integration Architecture Distributed Systems PostgreSQL Redis Message Oriented Middleware Software Engineering TypeScript ReactJS Large Language Models Multi-Agent Systems
+6 more
Spring-boot Caching Generative AI Apache Kafka Front End Software Development Virtual Agents

Requirements

· Strong backend engineering experience with Java and Spring / Spring Boot, ideally including practical experience with Spring AI or comparable AI integration frameworks.

· Strong front-end development experience with ReactJS and TypeScript, with the ability to deliver production-quality features across the full stack.

· Experience designing event-driven and distributed architectures, including hands-on work with Apache Kafka and asynchronous messaging patterns.

· Experience with Redis and PostgreSQL, including an understanding of caching, data modelling, performance and reliability considerations.

· Hands-on experience with agentic AI, LLMs or generative AI, including practical understanding of agent orchestration, sub-agent patterns, tool use, iterative loops and production integration.

· Experience applying AI within the software development lifecycle, whether through agentic development workflows, AI-assisted engineering or automated coding and testing practices.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

3:15 min

Reversing the caching model for artifact delivery

Thijs Feryn Thijs Feryn · World Congress 2026 Europe

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

2:08 min

Navigating the components of the modern generative AI stack

Julián Duque Julián Duque · World Congress 2025

Videos

See all
Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis) thumbnail
34:39
about 1 year ago

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)

Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS thumbnail
53:45
JS Congress • almost 5 years ago

Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS

Anna Mcdougall

HTTP headers that make your website go faster thumbnail
30:27
World Congress 2025 • about 1 year ago

HTTP headers that make your website go faster

Thijs Feryn

Agentic AI Systems for Critical Workloads thumbnail
30:01
World Congress 2025 • about 1 year ago

Agentic AI Systems for Critical Workloads

Mario Fusco

Event based cache invalidation in GraphQL thumbnail
36:58
World Congress 2022 • about 4 years ago

Event based cache invalidation in GraphQL

Simone Sanfratello

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure thumbnail
26:35
World Congress 2025 • about 1 year ago

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

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