ExperiencedAIEngineerforStorageDomain

Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit

Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform

and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses

Work on functional design

process design (including scenario design

and defining support procedures

Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities

ensuring high accuracy and efficiency

Develop custom plugins

or APIs to integrate retrieval systems (e. g.

Elasticsearch) with generative models

facilitating seamless information retrieval

Fine-tune and optimize large language models

enhancing their performance and adaptability to domain-specific requirements

Monitor and troubleshoot issues within pipelines

fine-tuning retrieval parameters and model hyperparameters to optimize performance

Evaluate and benchmark the performance of vector databases and collaborate with data scientists and software engineers to integrate vector search capabilities into production systems

Evaluate and benchmark the performance of solutions

using metrics such as response accuracy

and user satisfaction

Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation

Serve as liaison between stakeholders and project teams

delivering feedback and enabling team members to make necessary changes in product performance or presentation

Demonstrate innovative AI use-cases

conducting workshops and training sessions

technical paper and patent presentations to foster AI adoption

Guiding and mentoring junior AI engineers

helping them develop their skills and knowledge in the field

Adhere to the policies and procedures related to AI governance to ensure compliance with legal and ethical standards

Keeping abreast of the latest industry trends

and technologies in AI to continually improve the AI capabilities of the organization