Fullstack Agentic AI Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission‑critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

As a Fullstack Agentic AI Engineer at Kyndryl, you’ll take the architect’s vision and turn it into reality building and delivering the code and integrations that power our customer engagements, and next‑gen Agentic AI deployments. This is a hands‑on, highly technical role where you’ll work on enterprise‑grade software platforms that integrate Agentic AI capabilities.

You’ll thrive in a true builder’s environment, where MVP rollouts happen in weeks, and you’ll have the autonomy to experiment, innovate, and solve complex problems. Expect a mix of technical work, some customer‑facing collaboration and a fast‑paced, iterative setting with evolving requirements.

• 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 Graph
  
  QL 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/Agentic AI, web development, and cloud technologies.

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands‑on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Kyndryl currently does not require employees to be fully vaccinated against COVID‑19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID‑19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer‑focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

• 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/Type Script, Python, and modern front‑end frameworks (React, Vue, or Angular).
• Experience with agentic frameworks such as Lang Chain, Auto Gen 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, No
  
  SQL, Firebase, Mongo
  
  DB, Postgre
  
  SQL).
• 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., Rabbit
  
  MQ, Kafka) and caching systems (e.g., Redis).

• Experi…