Artificial Intelligence Software Developer

2 weeks ago


Noida, Uttar Pradesh, India TETRAHED INC Full time
Job Title: Artificial Intelligence Engineer

Job Summary:

We are seeking a highly skilled Artificial Intelligence Engineer to join our team at TETRAHED INC. As an AI Engineer, you will be responsible for developing innovative technical solutions, integrating generative AI technologies, and collaborating with partners to deliver cutting-edge AI-driven applications.

Key Responsibilities:

  • Develop solutions leveraging GenAI technologies, integrating AI capabilities into cloud-native architectures.
  • Assist in the design and implementation of GenAI-driven applications, ensuring integration with microservices and container-based environments.
  • Create solutions that leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.
  • Collaborate on technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.

Requirements:

  • A newly graduated developer with experience in Java or Python.
  • Basic understanding of software development and exposure to AI/ML technologies.
  • Knowledge of GenAI frameworks: Familiarity with using GenAI frameworks and libraries such as OpenAI API.
  • Understanding of prompt engineering: Basic experience in designing and optimizing prompts for AI models to achieve desired outputs.
  • Strong verbal and written communication skills (English).
  • Positive and solution-oriented mindset.
  • Willingness to learn and grow within an Agile and Scrum project management environment.

Desired Skills and Experience:

  • Basic understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.
  • Interest in data engineering for AI: Eagerness to learn about data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data.
  • Familiarity with AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and eager to implement strategies to mitigate bias.
  • Basic understanding of cloud-native technologies and DevOps practices.
  • Willingness to pursue cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.


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