Explore Careers with Nous

Job Description:

• Design and develop autonomous AI agents capable of reasoning, planning, and executing complex tasks across diverse environments.
• Build adaptive multi-agent systems that leverage natural language understanding, reinforcement learning, and decision intelligence.
• Architect end-to-end frameworks for goal-driven agent collaboration, memory management, and real-time environment interaction.
• Integrate large language models (LLMs) and cognitive components to enable contextual awareness, tool usage, and self-improving behaviors.
• Experiment with emerging agentic architectures and orchestration frameworks to enhance autonomy and scalability.
• Collaborate with data scientists, ML engineers, and product teams to define agent workflows that drive intelligent automation and innovation.
• Develop prototypes and proof-of-concepts to demonstrate the practical impact of Agentic AI in real-world enterprise and engineering contexts.
• Lead research initiatives to advance the field of autonomous systems, publishing insights, frameworks, and best practices.

Skills and Experience Required:

• Deep understanding of agentic architectures, autonomous systems, and reinforcement learning frameworks.
• Strong hands-on expertise in Python and AI development libraries such as LangChain, AutoGen, Hugging Face, or similar orchestration tools.
• Experience integrating large language models and reasoning engines for decision-making and task automation.
• Proficiency in designing intelligent memory systems, retrieval mechanisms, and dynamic planning strategies for multi-agent environments.
• Exposure to simulation environments, API integration, and tool augmentation for autonomous agent workflows.
• Strong problem-solving, experimentation, and analytical abilities with a passion for pushing the boundaries of AI autonomy.
• Excellent collaboration and articulation skills to translate cutting-edge research into production-grade, intelligent systems.