Full Stack AI Engineer

About The Company Kyndryl is a global leader in designing, building, managing, and modernizing mission-critical technology systems that power the world’s most essential operations. With a focus on innovation and excellence, Kyndryl helps organizations harness the power of technology to achieve their business objectives. The company is committed to fostering an inclusive and equitable environment where diverse talents can thrive. By continuously pushing the boundaries of what is possible, Kyndryl aims to create a more sustainable and connected world, delivering value to its clients through cutting-edge solutions and expert services.

About The Role As a Fullstack Agentic AI Engineer at Kyndryl, you will play a pivotal role in transforming the company’s vision into tangible technological solutions. This position involves developing and deploying advanced AI-driven applications that leverage the latest in generative and agentic AI models. You will work on enterprise-grade software platforms, integrating complex AI models with scalable front-end and back-end systems. Your work will directly influence how Kyndryl’s clients adopt and benefit from next-generation AI capabilities, including large language models, multimodal AI, and agentic frameworks.

This is a highly technical, hands-on role that offers the opportunity to work in a fast-paced, innovative environment. You will collaborate with cross-functional teams, including product managers, data scientists, and client stakeholders, to deliver impactful solutions. The role emphasizes rapid development, iterative testing, and continuous improvement, allowing you to experiment with new ideas and technologies while maintaining a focus on security, scalability, and performance.

In this role, you will also stay abreast of the latest advancements in AI, web development, and cloud computing, ensuring that Kyndryl remains at the forefront of technological innovation. Your contributions will help shape the future of enterprise AI applications, making a meaningful difference in how organizations operate and compete in a digital-first world.

Qualifications The ideal candidate will possess a strong technical background with proven experience in full-stack development and AI integration. A bachelor’s degree in Computer Science, Software Engineering, or a related field is required, or equivalent practical experience. Candidates should have at least four years of experience building scalable, production-ready systems, with proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks such as React, Vue.js, or Angular.

Experience with integrating AI models through APIs from platforms like OpenAI or Hugging Face is essential. Familiarity with agentic frameworks such as LangChain, AutoGen, or CrewAI, as well as knowledge of vector databases, embeddings, and retrieval-augmented generation techniques, is highly desirable. Candidates should have hands-on experience working with cloud platforms like AWS, Azure, or GCP, along with containerization tools such as Docker and Kubernetes, and CI/CD pipelines.

A strong understanding of database technologies, message queues, caching systems, and scalable architecture design is important. The ability to collaborate effectively with cross-functional teams and communicate complex technical concepts clearly will set successful candidates apart.

Preferred skills include experience with prompt engineering, large language model fine-tuning, serverless computing, and handling large-scale or real-time data systems. Prior experience in developing AI-powered chatbots, recommendation engines, or content generators will be advantageous.

Responsibilities

• Develop and implement end-to-end AI-driven applications, integrating generative AI models to meet client and internal needs.
• Build and maintain scalable, user-friendly front-end interfaces using modern web frameworks such as React, Angular, or Vue.js.
• Design and develop robust back-end services utilizing technologies like Node.js, Python, or other relevant frameworks.
• Integrate large language models (LLMs) and multimodal AI models into applications, ensuring seamless interaction and performance.
• Optimize application performance, focusing on AI inference efficiency and API response times to enhance user experience.
• Develop and maintain APIs, including RESTful and GraphQL, to facilitate AI model interactions and data flow.
• Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization (Docker, Kubernetes) and serverless architectures.
• Ensure the security, scalability, and compliance of AI-driven applications, adhering to industry standards and best practices.
• Stay current with the latest trends and advancements in generative AI, web development, and cloud technologies, applying new knowledge to ongoing projects.

Benefits Kyndryl offers a comprehensive compensation package, with the salary range for this position in the U.S. starting from $110,880 to $263,160, depending on experience and location. Specific compensation varies by geography, with higher ranges applicable to locations such as California, New York City, and Washington. The company provides a robust benefits package, including medical, dental, and vision coverage, disability insurance, retirement plans, paid leave, and paid time off.

Employees are also eligible for Kyndryl’s discretionary annual bonus program, based on individual and company performance. For eligible roles, participation in sales commissions may be available. Kyndryl supports ongoing professional development through training, certifications, and hands-on experience, fostering growth and career advancement. The company recognizes the importance of work-life balance and promotes a flexible, inclusive work environment where employees can bring their whole selves to work.

Equal Opportunity

Kyndryl is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace free from discrimination and harassment. We welcome applicants of