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Job Description & How to Apply Below
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 Lang Graph, Auto Gen, 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, Tensor Flow)
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
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