Full Stack AI Engineer

Kyndryl

Full-Stack AI Engineer developing scalable AI-driven applications integrating generative AI technologies. Working at Kyndryl to enhance enterprise-level software systems with modern frameworks and AI capabilities.

Posted 7/21/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI-driven applications, with strong capabilities in full-stack development, cloud deployment, and API integration. Proficient in modern web frameworks and back-end technologies, ensuring scalable and efficient application performance.

Highest-signal resume keywords

Full-Stack DevelopmentAI Model IntegrationCloud Deployment (AWS, GCP, Azure)JavaScript/TypeScript ProficiencyRESTful and GraphQL API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptTypeScriptPythonReactVue.jsNode.jsDockerKubernetesSQLNoSQL

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AWSGCPAzureHugging FaceOpenAIRabbitMQKafkaRedis

Industry Keywords

Generative AILarge Language ModelsContainerizationCI/CD PipelinesVector Databases

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).
6+ 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

Flexible work arrangements
Professional development opportunities
Wellness programs