Join a pioneering company at the forefront of AI-driven innovation in the video production industry. Their flagship product empowers users to create high-quality, professional content without needing technical expertise.
By partnering with some of the world's leading technology companies, they integrate cutting-edge AI and cloud technologies across various sectors, including Corporate, Public Sector, Education, and Health Care.
They are deeply committed to ethical and human-centric AI, ensuring that their technologies not only enhance human creativity but also uphold the highest standards of fairness and transparency.
If you're passionate about AI and excited to work on groundbreaking projects that make a real difference, this is the place for you!
Key Responsibilities :
Develop Interfaces for LLM Agents :
- Design and implement interfaces and APIs for integrating LLM Agents with our products.
- Create systems that enable LLM Agents to access and utilize various tools within the platform.
- Manage interactions between LLM Agents and core products to ensure seamless operation.
Cloud and Backend Architecture :
- Utilize Microsoft Azure to maintain and scale backend infrastructure for AI features.
- Streamline development workflows using tools like Visual Studio Code and GitHub.
Collaboration and Integration :
- Integrate AI capabilities using technologies like Copilot Extensions and ChatGPT API calls.
- Work closely with cross-functional teams to align technical solutions with business goals.
Required Skills & Qualifications :
- 3-5 years of experience in software development with a focus on backend integration, APIs, and cloud infrastructure.
- Strong programming skills in Python and C#.
- Familiarity with Microsoft Azure, GitHub, Jira, Confluence, and Microsoft Teams.
- Basic understanding of AI methodologies, including prompt engineering and API interactions.
- Ability to explain and integrate Copilot Extensions into development processes.
Preferred Qualifications :
- Experience with machine learning frameworks like TensorFlow or PyTorch.
- Familiarity with AI SDKs and libraries such as LangChain.
- Experience optimizing systems for AI across CPUs, GPUs, and NPUs.
- Knowledge of AMD Ryzen hardware.
- Prior experience with Azure AI services and backend systems.
Continuous Learning and Development :
- Engage in ongoing learning to enhance AI knowledge and contribute to ethical, human-centric AI solutions.
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