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AI Technical Developer
AI Technical DeveloperCynet Systems • Round Rock, TX
AI Technical Developer

AI Technical Developer

Cynet Systems • Round Rock, TX
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description :

  • 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 application, 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.

Technical Skills and Experience :

  • Exposure in Large Language Models (LLMs), Machine Learning, Deep Learning, Generative AI, Supervised Learning, Data Science, and Data Engineering.
  • Python full stack development with strong hands-on experience using 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 including PostgreSQL, MySQL, MongoDB, and 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.

    • UI and Frontend Skills :

  • 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.

    • DevOps and Platform Skills :

  • Hands-on experience with Docker and containerization best practices.
  • Strong expertise in Kubernetes on Bare Metal (KOB), including cluster setup, upgrades, and troubleshooting.
  • Experience with networking (CNI), storage (CSI), and ingress configurations.
  • Knowledge of high availability and fault tolerance.

    • Skills :

  • Artificial Intelligence.
  • Python full stack.
  • Angular.
  • DevOps.
  • Data Science.
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