Fullstack AI Engineer

Kyndryl

Full-stack Agentic AI Engineer developing and implementing AI-driven applications for Kyndryl's Agentic AI Lab. Collaborating with cross-functional teams to deliver scalable software solutions.

Posted 6/25/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $110,880 - $263,160 per yearWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerFirebaseGoogle Cloud PlatformGraphQLJavaScriptKafkaKubernetesMongoDBNode.jsNoSQLPostgresPythonRabbitMQReactRedisSQLTypeScriptVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

comprehensive benefits package which includes medical and dental coverage
disability
retirement benefits
paid leave
paid time off
eligible for Kyndryl’s discretionary annual bonus program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaScriptTypeScriptPythonReactAngularVue.jsNode.jsRESTful APIsGraphQL APIsAI model integration

Soft Skills

collaborationproblem-solvingcommunicationscalability designarchitecture design

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering