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Full Stack AI Systems Engineer

2 months ago

Carmel, Indiana, United States Sharedlabs Inc Full time
Job Description

Summary:

We are seeking a highly skilled and experienced Generative AI Architect to join our team at SharedLABS Inc. in the USA. As a key member of our team, you will be responsible for designing, developing, and deploying generative AI models and systems that will power our next-generation products and services.

Responsibilities:

  • Design and Development: Design, develop, and deploy generative AI models and systems across the full stack, from data pipelines to front-end applications.
  • Collaboration: Collaborate with data scientists, machine learning engineers, and software engineers to define and execute the technical roadmap for generative AI projects.
  • Architecture and Design: Lead the architecture and design of generative AI systems, ensuring scalability, performance, and reliability.
  • Best Practices: Develop and implement best practices for generative AI model development, deployment, and monitoring.
  • Research and Development: Stay up-to-date on the latest advancements in generative AI research and apply them to our products and services.
  • Communication: Communicate effectively with technical and non-technical stakeholders to ensure alignment on generative AI initiatives.
  • UI/UX Integration: Design generative AI models and outputs seamlessly into user interfaces.
  • Front-end Development: Stay up-to-date on the latest front-end frameworks and libraries (e.g., React, Angular) and apply them to generative AI projects.
  • Performance Optimization: Optimize front-end performance and responsiveness for various platforms and devices.
  • API Design: Design robust and scalable back-end APIs for generative AI models.
  • Data Pipelines: Implement efficient data pipelines to feed data to and extract outputs from generative AI models.
  • Technology Selection: Choose and optimize backend technologies (e.g., Python, Java) based on model requirements and system limitations.
  • Security and Reliability: Ensure the security and reliability of generative AI systems in production.
  • Microsoft Power Platforms: Utilize M365 Power platforms Co-pilot to enhance Gen AI Capabilities in the o365 applications.
  • Architecture and Governance: Frame proper architecture, governance, and data loss prevention policies for Co-Pilot to be implemented in the organisation.
  • AI Builder: Leverage AI Builder to incorporate artificial intelligence capabilities into Power Apps, Power Virtual Agents, and Power Automate workflows.
  • Microsoft Graph APIs: Guide the application engineers to design, develop, and implement applications and integrations utilizing Microsoft Graph APIs.

Qualifications:

  • Education: Master's degree or bachelor's degree in computer science, Machine Learning, or a related field, or equivalent experience.
  • Experience: 12+ years of experience in software engineering, with a focus on full-stack development.
  • Generative AI Experience: 4+ years of experience with generative AI models and techniques, such as GANs, VAEs, and autoregressive models.
  • Deep Learning Frameworks: Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet.
  • Communication and Collaboration: Excellent communication, collaboration, and problem-solving skills.
  • Teamwork: Ability to work independently and as part of a team.
  • Passion for AI: Strong passion for generative AI and its potential to transform the world.