Fullstack Agentic AI Engineer
About The Position
Our newly-launched Agentic AI Lab in Frisco is scaling rapidly. As a Full-stack 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
- medical and dental coverage
- disability
- retirement benefits
- paid leave
- paid time off
- Kyndryl’s discretionary annual bonus program
- learning programs
- certifications
- company-wide volunteering and giving platform
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
