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• No of position :- ( 1 )

• Post :- 7th Jan 2026

• We are seeking a highly skilled and motivated AI Engineer to join our AI Accelerator Team working on various AI initiatives.
• The successful candidate will be instrumental in developing and optimizing cutting-edge AI models and AI-based products, with a strong focus on Generative AI technologies.

Responsibilities:

• Design, develop, and maintain advanced AI models for Generative AI use cases.
• Conduct prompt engineering and implement optimization techniques such as RAG to enhance the model’s ability to generate informed and contextually appropriate responses.
• Ensure models’ effectiveness and accuracy through rigorous testing and validation.
• Adhere to principles of Responsible AI to ensure fairness, transparency, privacy, accountability, and implementing risk and compliance measures.
• Continuously assess and enhance AI solutions based on user feedback, emerging technologies, and industry advancements.
• Collaborate with cross-functional teams to integrate AI solutions into their existing processes and maximize their impact organization-wide.
• Manage multiple use cases simultaneously and deliver high-quality results within established timelines.
• Working from the Office is mandatory for real-time collaboration and effective team dynamics.

Qualifications:

• Bachelor’s degree in Computer Science, or a related field. Master’s degree preferred.
• Proven professional experience in AI solution development, with a strong emphasis on natural language processing, machine learning, and large language models.
• Strong proficiency in Python with experience in utilizing relevant libraries and frameworks (e.g. Scikit Learn, TensorFlow or PyTorch)
• Hands-on experience with the RAG technique and familiarity with its application in real-world scenarios.
• Familiarity with Azure AI services is preferred.
• Strong problem-solving abilities and analytical mindset, with the ability to translate complex business problems into practical AI solutions.
• Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• Experience of working in Agile development methodologies.
• Digital : Artificial Intelligence(AI)