Information Technology - AI Data Engineer - Fully Remote - LG

Job Title: Information Technology - Data Engineer

Duration: 3 months minimum

Shift Details: Day shift

Salary: Negotiable

Job Description
• 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 • Requirements: Must have 7+ years of experience

Must Have Skills/experience With GenAI, Azure, Application Development/Integration.

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