Job Title

About TruxtTruxt.ai is an early stage, cutting-edge startup building Autonomous DevOps Software Operations, powered by AI and Generative AI. Our mission is to transform customer support experiences by building a robust, pre-trained Generative AI platform. We're seeking passionate Machine learning Engineer to join our journey. Job Description:Truxt is seeking a highly skilled Senior Machine Learning Engineer working on Generative AI. This is an exciting opportunity to build a state-of-the-art system that combines Agentic AI, Model Context protocol (MCP ) Retrieval-Augmented Generation (RAG), Prompt Engineering, multiple Large Language Models (LLMs), Knowledge Graphs, and real-time web data integration.As our Senior Machine Learning Engineer, you'll be at the forefront of , designing and implementing an advanced platform that leverages the latest in natural language processing and knowledge representation. This can be either a Full Time or Part-Time monthly contract opportunity.Responsibilities:Architect and develop a Agents, MCP Integrations, RAG-based system multiple specialized LLMsCreate efficient algorithms for semantic search and context aggregationDevelop systems for real-time web data integration and processingImplement and optimize multi-LLM orchestration strategiesDesign and implement Knowledge GraphEnsure data security and privacy throughout the platformCollaborate with clients to curate and maintain the knowledge baseContinuously improve system performance through feedback loops and metrics analysisRequirements:Bachelor’s degree in Computer Science, Machine Learning, or a related field.4+ years of experience in machine learning, with a focus on NLP or LLMsProven experience with RAG architectures and vector databasesStrong knowledge of Knowledge Graph technologies and graph databasesProficiency in Python and experience with ML frameworks (PyTorch, TensorFlow)Experience with web scraping, API integrations, and data processing pipelinesExcellent problem-solving skills and attention to detailPreferred Qualifications:Experience with multi-model AI systems and model orchestrationFamiliarity with MLOps practices and toolsKnowledge of information retrieval techniques and search algorithmsExperience with cloud platforms ( Azure, GCP or AWS)Contributions to open-source NLP or ML projectsHave worked with Hugging Face and Langchain