Job Description

Location:

Bangalore

Experience:

10+ Years

Opening:

01#

:

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.