Large Language Model (LLM) Engineer - Remote

Overview

We are looking for a talented and innovative Large Language Model (LLM) Engineer with specialized experience in Retrieval Augmented Generation (RAG) to join our dynamic team. The ideal candidate will be instrumental in the development, optimization, and deployment of RAG-based LLM solutions that meet various business needs. This role requires a deep understanding of Data Science, Machine Learning (ML), Natural Language Processing (NLP), and the fundamentals of LLMs. The successful candidate will have hands-on experience with agent-based prompting techniques such as LangChain, API-driven development architectures for AI products, usage of vector databases, and information retrieval pipelines to extract actionable insights. Additionally, strong listening skills and an ability to understand business requirements are essential for designing effective solutions tailored to stakeholder needs.

In Short

• Designing RAG Solutions: Develop robust RAG-based LLM solutions that enhance data retrieval processes while ensuring high quality output aligned with business objectives.
• Prompt Engineering: Craft effective prompts that efficiently guide LLMs towards generating outputs that fulfill specific business requirements; iterate on prompt designs based on performance metrics.
• AI Product Development: Design, develop, and refine AI products based on user feedback and stakeholder requirements; ensure alignment with program priorities through agile methodologies.
• Support ML Engineering Teams: Collaborate closely with ML engineering teams during the deployment phase of APIs in production environments; assist in troubleshooting issues related to model performance or integration challenges.
• Documentation Creation: Document Generative AI use cases comprehensively; create manuals detailing workflows, methodologies employed in solution design, and best practices adopted throughout the process.
• Retrieval Augmented Generation Maintenance: Develop and maintain RAG concepts following established data science principles; ensure adherence to industry standards while fostering innovation.
• Pipeline Optimization: Ensure efficient operation of data pipelines and processes according to company security policies; promote Responsible AI practices within all project phases.
• Collaboration & Communication: Work closely with cross functional teams including product managers, data scientists, software engineers, and stakeholders to align goals effectively; communicate technical concepts clearly across diverse audiences.

Requirements

• Deep understanding of Data Science, Machine Learning, and Natural Language Processing.
• Hands-on experience with Retrieval Augmented Generation techniques.
• Proficiency in LangChain and API-driven development.
• Experience with vector databases and information retrieval pipelines.
• Strong communication and collaboration skills.
• Ability to document technical processes and methodologies.
• Experience in agile methodologies.
• Problem-solving skills in model performance and integration.

Benefits

• Opportunity to work on innovative AI projects.
• Collaborative and dynamic team environment.
• Flexible working conditions with remote options.
• Professional development opportunities.
• Competitive compensation package.