Role overview
Role: AI/ML Engineer Location: Austin, TX (Hybrid) Duration: 12+ Months Requirements: We are seeking a highly skilled AI Technical Developer to lead the design, development, and deployment of cutting-edge AI-driven product solutions. This role involves collaborating closely with product development, architecture, and management teams to propel the advancement of AI technologies working with business teams and end customers.. Design, develop, and maintain scalable Python-based backend services and microservices for enterprise applications. Build and integrate AI/ML and LLM-driven solutions, including model inference services, data pipelines, and API exposure. Develop and maintain modern UI applications using Angular, ensuring seamless integration with Python backends. Deploy, manage, and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms. Implement end 'to 'end DevOps practices including CI/CD, infrastructure automation, monitoring, and observability. Apply security-by-design principles across applications, API, container, and infrastructure layers. Collaborate cross-functionally with product, architecture, QA, platform, and security teams to deliver high-quality solutions. Ensure code quality through unit testing, integration testing, code reviews, and documentation. Drive performance optimization, reliability, and scalability across the full technology stack. Exposure in Large Language Models (LLMs), Machine Learning, Deep Learning, Generative AI, Supervised Learning, Data Science, and Data Engineering. Python Full Stack Development Strong hands-on experience with Python (3.x) for enterprise application development. Expertise with FastAPI, Flask, or Django frameworks. Proficiency in building RESTful and event-driven APIs. Strong understanding of asynchronous programming, threading, and performance optimization. Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Experience developing and integrating AI/ML solutions into production systems. Hands-on exposure to machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience with LLMs, prompt engineering, and AI service orchestration is a strong plus. Understanding of model lifecycle management, monitoring, and inference performance tuning. Data Science tools and visualization tools Strong experience developing applications with Angular Proficiency in TypeScript, RxJS, component-based architecture, and state management. Ability to integrate UI with secure backend APIs. Familiarity with responsive UI design, accessibility standards, and performance optimization. Hands-on experience with Docker and containerization best practices. Strong expertise in Kubernetes on Bare Metal (KOB) Cluster setup, upgrades, and troubleshooting Networking (CNI), storage (CSI), and ingress configurations High availability and fault tolerance.
For applications and inquiries, contact: hirings@openkyber.com