Junior Generative AI Engineer

Summary:
We are looking for a motivated Junior GenAI Engineer to support the development and implementation of generative AI solutions. The role involves assisting in model experimentation, prompt creation, data preparation, and integrating AI capabilities into applications under the guidance of senior team members.

Key Responsibilities:
• Assist in building and testing LLM-based and generative AI models.
• Support in creating and refining prompts, workflows, and automation scripts.
• Work on data preprocessing, dataset preparation, and model evaluations.
• Help integrate GenAI features into existing applications or tools.
• Perform basic performance analysis and document findings.
• Stay updated with the latest GenAI tools, frameworks, and best practices.
• Collaborate with the engineering and product teams on AI use cases.

Required Skills & Qualifications:
• Basic understanding of Machine Learning, NLP, and generative AI concepts.
• Proficiency in Python and familiarity with ML libraries (e.g., PyTorch, TensorFlow).
• Understanding of APIs, embeddings, and RAG concepts is a plus.
• Strong analytical and problem‑solving mindset.
• Good communication and willingness to learn.

Preferred Qualifications:
• Internship or project experience in AI/ML or LLM-based applications.
• Familiarity with GenAI tools such as LangChain, Hugging Face, OpenAI/Azure OpenAI APIs.
• Basic knowledge of cloud platforms (AWS, Azure, GCP).

Education:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.