About Truxt
Truxt.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 LLMs
- Create efficient algorithms for semantic search and context aggregation
- Develop systems for real-time web data integration and processing
- Implement and optimize multi-LLM orchestration strategies
- Design and implement Knowledge Graph
- Ensure data security and privacy throughout the platform
- Collaborate with clients to curate and maintain the knowledge base
- Continuously improve system performance through feedback loops and metrics analysis
Requirements:
- 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 LLMs
- Proven experience with RAG architectures and vector databases
- Strong knowledge of Knowledge Graph technologies and graph databases
- Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Experience with web scraping, API integrations, and data processing pipelines
- Excellent problem-solving skills and attention to detail
Preferred Qualifications:
- Experience with multi-model AI systems and model orchestration
- Familiarity with MLOps practices and tools
- Knowledge of information retrieval techniques and search algorithms
- Experience with cloud platforms ( Azure, GCP or AWS)
- Contributions to open-source NLP or ML projects
- Have worked with Hugging Face and Langchain