Machine Learning Engineer

About the job

This is an exciting opportunity to build a state-of-the-art autonomous 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 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. Agents that don’t just flag issues, they act. NOTE: This will be a really difficult role where you‘ll have to learn and implement the latest evolving AI technologies. Please do NOT apply for this role if you: • Want a 9-5 job • Cannot take ownership • Are not ready to commit 9-9-6 per week • Do not have startup Builder(get it done) mentality. Responsibilities: • End-to-end agentic execution pipelines that take action • Multi-agent orchestration systems using LangGraph, AutoGen, CrewAI, or custom tool-use loops, with planning, reflection, and tool-calling built in • Architect and develop 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. • 2+ years of experience in machine learning, with a focus on NLP or LLMs • Ideally 3–6 years of ML/AI engineering experience, you‘ve shipped models and agents to production, not just Jupyter notebooks • 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.

Requirements

• AI
• Python
• NLP

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, or a related field.

Preferred Technologies

• AI
• Python
• NLP

Benefits

• Freedom to Execute
• True Ownership
• Technical Challenge
• Impact-Driven Culture
• Transparent Leadership
• Good Equity

About the company

Truxt.ai is an early stage, cutting-edge startup building Autonomous Software Intelligence Analytics platform, powered by AI and Generative AI.