• AI Architect And Full Stack Engineer

    IBM (New City, NY)


    Introduction

     

    Experienced technologist with a strong focus on full stack development and intelligent systems. Proven expertise in building scalable backend services with Java (Spring Boot, Spring Batch) and modern frontend applications with React. Hands-on experience in integrating Generative AI technologies into production-grade systems.

    Your role and responsibilities

    • Collaborate with data scientists and product teams to implement AI-powered features using LLMs and retrieval-based architectures.

    • Develop and maintain backend services using Java (Spring Boot), Python (FastAPI), and Node.js.

    • Create and integrate APIs and microservices, ensuring clean design and high availability.

    • Build and enhance frontend components with React and TypeScript, aligned with user experience goals.

    • Contribute to the development and deployment of ML pipelines in PyTorch, TensorFlow, or Scikit-learn.

    • Participate in daily Agile rituals including standups, backlog grooming, and retrospectives.

    • Assist with setting up and maintaining CI/CD pipelines using GitHub Actions, Jenkins, or Tekton.

    • Deploy and monitor applications in Kubernetes/OpenShift environments across AWS or GCP.

    • Write automated tests, conduct code reviews, and ensure consistent code quality and performance.

    • Troubleshoot system bugs, conduct root cause analyses, and help stabilize production environments.

    • Update architecture documentation and support onboarding of new features or tools into the platform.

     

    This job can be performed from anywhere in the US.

    Required technical and professional expertise

    • 3-6 years of experience in software engineering with hands-on work in AI/ML-powered systems.

    • Strong programming background in Java, Python, JavaScript/TypeScript.

    • Experience deploying ML models and integrating them with production systems.

    • Familiar with LLMs, LangChain, Hugging Face, and OpenAI APIs.

    • Solid experience with RESTful APIs, microservices, and cloud-native architecture.

    • Exposure to Kubernetes/OpenShift and DevOps pipelines.

    • Good problem-solving skills and a collaborative mindset.

     

    IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.