Machine Learning Engineer - Generative AI

Skip to main contentOur CompanyOur BusinessSearch for JobsJoin Talent NetworkFAQsProfileEnglishSign InSingle PositionView All JobsMachine Learning Engineer - Generative AISan Diego, California, United States of America No longer accepting applications.Job ID3093794We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.Key Responsibilities:Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sourcesDevelop and optimize LLM fine-tuning strategies for specific use cases and domain adaptationCreate robust evaluation frameworks for measuring and improving model performanceBuild and maintain agentic workflows for autonomous AI systemsCollaborate with cross-functional teams to identify opportunities and implement AI solutionsPreferred Qualifications:Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)Knowledge of prompt engineering and chain-of-thought techniquesExperience with containerization and microservices architectureBackground in Reinforcement LearningContributions to open-source AI projectsExperience with ML ops and model deployment pipelinesSkills and Competencies:Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)Practical experience with LLM deployments and fine-tuningExperience with vector databases and embedding modelsFamiliarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)Strong understanding of RAG architectures and implementationStrong problem-solving and analytical skillsExcellent communication and collaboration abilitiesExperience with agile development methodologiesAbility to balance multiple projects and prioritiesStrong focus on code quality and best practicesUnderstanding of AI ethics and responsible AI development