Fullstack Agentic AI Engineer

Kyndryl•Dallas, TX

13d

About The Position

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.

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).

Nice To Haves

Experience with Temporal Workflows, Langfuse, LLM gateways such as LiteLLM
Prior experience in prompt engineering
Experience in building AI-powered chatbots, content generators, or recommendation systems.
Familiarity with LLM fine-tuning, prompt engineering, and AI model optimization.
Knowledge of serverless computing, edge AI, and streaming architectures.
Background in handling large-scale data or real-time systems.

Responsibilities

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.

Benefits

comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.
employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.

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