Generative AI Engineer

1 month ago

India Radiant Systems Inc Full time

Responsibilities:

  • Develop and execute a forward-thinking strategy for GenAI, focusing on emerging technologies and innovative solutions.
  • Lay out comprehensive roadmaps for GenAI initiatives, ensuring alignment with business goals and technological advancements.
  • Lead the creation of cutting-edge prototypes to explore new algorithms, techniques, and open-source technologies.
  • Architect and optimize large-scale backend systems, prioritizing performance, scalability, and low latency.
  • Design and implement advanced algorithms, particularly in Retrieval-Augmented Generation (RAG) systems and Agentic workflows.
  • Ensure high standards of code quality, performing code reviews and refactoring to enhance modularity and maintainability.
  • Work closely with Product Managers, Solution Architects, and engineering teams and help them to translate prototypes into scalable solutions. Mentor junior engineers and foster a culture of innovation.
  • Collaborate with architects to secure design approvals and ensure cohesive system architecture.
  • Create compelling demos to showcase new features and innovations to stakeholders and potential customers.
  • Continuously monitor and review the latest research papers and publications in the field of Generative AI to integrate cutting-edge techniques into projects.
  • Advocate for and implement ethical AI practices, ensuring that AI solutions are fair, transparent, and unbiased.
  • Engage with cross-functional teams, including data scientists, software engineers, and domain experts, to drive interdisciplinary projects and innovations.
  • Establish robust monitoring and evaluation frameworks to track the performance of AI models in production, ensuring they meet the desired accuracy and efficiency standards.


Technical Skills:

  • Proficiency in GPT for NLP, AI, ML algorithms for predictive analytics, cloud-to-cloud integrations, and GraphQL.
  • Experience with Generative AI technologies, including RAG systems, Agentic workflows, or open-source frameworks such as LangChain and LlamaIndex (Plus)
  • Strong skills in AWS, Azure, GCP, and designing scalable AI architectures.
  • Proven experience in building and optimizing large-scale GenAI systems with a focus on cutting edge innovation along with performance and scalability.
  • Comprehensive knowledge of state-of-the-art technologies such as Generative Pre-trained Transformers (GPT) for natural language processing (NPL), Artificial Intelligence (AI), Machine Learning (ML) algorithms for predictive analytics, seamless cloud-to-cloud integrations for scalable infrastructure, and GraphQL for efficient data queries and APIs.
  • Track record of developing and launching large scale deep learning solutions to solve real-world problems.
  • Possesses extensive expertise in Natural Language Processing (NLP), Transformer models, and Generative AI, coupled with a strong enthusiasm for exploring the latest advancements in these fields. Also well-versed in related technologies such as machine learning, deep learning, and neural networks, with a keen interest in staying updated on cutting-edge innovations in AI.
  • Contributed to the broader technical community through tech talks, publications, open source projects, or other ways
  • Must have led teams of engineers to deliver autonomously on large multi-functionally driven projects.

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