12 Oct
Radiant Systems
Bharatpur
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> Responsibilities:
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> - 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.
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> Technical Skills:
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> - 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.
▶️ Generative AI Engineer
🖊️ Radiant Systems
📍 Bharatpur