Artificial Intelligence Software Developer

2 months ago

Noida, India TETRAHED INC Full time

Job Title: Artificial Intelligence Software Developer


Job Summary: We are seeking a skilled Artificial Intelligence Software Developer to join our team at TETRAHED INC. As a graduate AI Engineer, you will be responsible for developing innovative technical solutions, integrating generative AI technologies, and collaborating with partners to design and implement GenAI-driven applications.


Main 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.

Preferred 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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