to design, develop, and deploy AI-driven solutions using large language models (LLMs), diffusion models, and other generative techniques. The ideal candidate has hands-on experience with modern AI frameworks, strong problem-solving abilities, and the ability to translate business needs into scalable GenAI applications.
Key Responsibilities
Build, fine-tune, and optimize
large language models
and
multimodal generative models
(text, image, voice, code).
Develop end-to-end GenAI pipelines, including data preparation, training, evaluation, and deployment.
Implement
retrieval-augmented generation (RAG)
, prompt engineering, and model-customization techniques.
Integrate GenAI capabilities into products and internal workflows through APIs and microservices.
Conduct experiments to improve model quality, reduce hallucination, and enhance performance and safety.
Work with cross-functional teams (Product, Data Engineering, UX, Security) to deliver GenAI solutions aligned with business goals.
Stay updated with advancements in LLMs, transformers, diffusion models, and responsible AI practices.
Ensure compliance with data privacy, security, and ethical AI guidelines.
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER
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