Senior AI/ML Software Engineer to $6000

We are hiring an AI/ML Engineer for a project focused on developing an advanced Large Language Model (LLM)-based intelligent agent. The project integrates cutting-edge AI/ML frameworks to enhance interpretability and decision-making in artificial intelligence.

Our research-driven approach leverages mathematical methods, such as abstract algebra, to push the boundaries of AI cognitive capabilities. The ultimate goal is to create a system capable of logical reasoning and complex problem-solving.
 

Requirements
 

  • Strong Python programming skills with experience in AI/ML frameworks (PyTorch, TensorFlow, etc.).
  • Hands-on experience with agent-based AI frameworks (LangChain, LangGraph, CrewAI).
  • Understanding of LLMs (GPT models) and their practical applications.
  • Mathematical background (familiarity with abstract algebra or advanced math concepts is a plus).
  • Cloud deployment experience (AWS, Azure, GCP) and knowledge of Docker/Kubernetes.
  • Excellent collaboration and communication skills, with experience working in research-driven AI projects.
  • Agile development experience (Kanban, Scrum).
  • Strong communication skills – ability to speak English fluently and adjust the level of detail based on the audience, from deep technical discussions to high-level overviews.
     

Responsibilities
 

  • Develop an LLM-based intelligent agent using Python and modern AI frameworks (LangChain, LangGraph, CrewAI).
  • Implement mathematical techniques (e.g., abstract algebra) to enhance AI reasoning and decision-making.
  • Design and build tools that improve AI/ML interpretability and cognitive simulation.
  • Collaborate with researchers to integrate mathematical frameworks into AI models.
  • Manage and maintain a structured codebase in Git (GitHub), ensuring high-quality coding standards.
  • Deploy the system on cloud infrastructure (AWS, Azure, or GCP) with automation and scalability in mind.
  • Document system architecture and workflows, ensuring clarity for future development.
  • Participate in an agile workflow using Kanban methodology, with weekly progress reviews and stakeholder engagement.
     

Nice to have:
 

  • Master’s or Ph.D. in Computer Science, Mathematics, Data Science, or a related field.
  • Proven experience in research-oriented AI/ML projects or developing intelligent agents
Published 12 March
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