Senior AI/ML Software Engineer

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