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Fullstack AI Engineer at Kyndryl | JobVerse
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Fullstack AI Engineer
Kyndryl
Website
LinkedIn
Fullstack AI Engineer
Dallas, Texas, United States of America
Full Time
4 days ago
$110,880 - $263,160 USD
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Key skills
Angular
AWS
Azure
Cloud
Docker
Firebase
Google Cloud Platform
GraphQL
JavaScript
Kafka
Kubernetes
MongoDB
Node.js
NoSQL
Postgres
Python
RabbitMQ
React
Redis
SQL
TypeScript
Vue.js
AI
Generative AI
Large Language Models
OpenAI
RAG
LangChain
Agentic
AutoGen
Hugging Face
Vue
GCP
Google Cloud
Serverless
PostgreSQL
RESTful
Caching
CI/CD
About this role
Role Overview
Develop and implement end-to-end AI-driven applications, integrating generative AI models
Build and maintain scalable front-end interfaces using modern web frameworks (React, Angular, Vue.js)
Design and develop robust back-end services using Node.js, Python, or other back-end technologies
Integrate large language models (LLMs) and multimodal AI models into applications
Optimize application performance, ensuring efficiency in AI inference and API response times
Develop and maintain RESTful and GraphQL APIs for AI model interaction
Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies
Ensure security, scalability, and compliance of AI-driven applications
Stay up to date with the latest advancements in Generative/Agentic4 AI, web development, and cloud technologies
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
4+ years of experience in full-stack development, with a track record of building scalable, production-ready systems
Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular)
Experience with agentic frameworks such as LangChain, AutoGen or CrewAI
Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.)
Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques
Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL)
Ability to design scalable and maintainable architectures for AI-driven applications
Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality
Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis)
Tech Stack
Angular
AWS
Azure
Cloud
Docker
Firebase
Google Cloud Platform
GraphQL
JavaScript
Kafka
Kubernetes
MongoDB
Node.js
NoSQL
Postgres
Python
RabbitMQ
React
Redis
SQL
TypeScript
Vue.js
Benefits
Comprehensive benefits package including medical and dental coverage
Disability benefits
Retirement benefits
Paid leave
Paid time off
Apply Now
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