Truxt.ai
Website:
truxt.ai
Job details:
About Truxt
Truxt.ai is an early stage, cutting-edge startup building Autonomous Software Intelligence Analytics platform, powered by AI and Generative AI. We're seeking passionate Machine learning Engineer to join our journey.
Job Description:
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 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.
- 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
What Makes This Opportunity Different:
- Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles.
- True Ownership: Founding engineers receive substantial equity packages (competitive with senior engineer salaries at scale), ensuring you directly benefit from the value you create.
- Technical Challenge: Solve complex real-world problems with meaningful impact.
- Impact-Driven Culture: Directly influence product direction, company culture, and growth strategy.
- Transparent Leadership: Collaborative environment, weekly strategy sessions, and full visibility into company health and roadmap.
- Good Equity
Click on Apply to know more.