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ABOUT XENONSTACK

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time and intelligent business insights.

We deliver innovation through:
Akira AI – Building Agentic Systems for AI Agents
XenonStack Vision AI – Vision AI Platform
NexaStack AI – Inference AI Infrastructure for Agentic Systems

Our mission is to accelerate the world’s transition to AI + Human Intelligence, combining reasoning, perception, and action to create enterprise-ready AI agents.

THE CHANCE

We are seeking an Agentic AI Engineer (Specialized in Reinforcement Learning) with 2–5 years of experience in applying RL to enterprise-grade systems. This role involves designing and deploying adaptive AI agents that continuously learn, optimize decisions, and evolve in energetic environments.

You’ll work at the intersection of RL research, agentic orchestration, and real-world enterprise workflows — building agents that do more than automate, but truly reason, adapt, and improve over time.

JOB ROLES AND RESPONSIBILITIES





Reinforcement Learning Development
Design, implement, and train RL algorithms (PPO, A3C, DQN, SAC) for enterprise decision-making tasks.
Develop custom simulation environments to model business processes and operational workflows.
Experiment with reward function design to balance efficiency, accuracy, and long-term value creation.

Agentic AI System Design
Build production-ready RL-driven agents capable of energetic decision-making and task orchestration.
Integrate RL models with LLMs, knowledge bases, and external tools for agentic workflows.
Implement multi-agent systems to simulate collaboration, negotiation, and coordination.

Deployment & Optimization
Deploy RL agents on cloud and hybrid infrastructures (AWS, GCP, Azure).
Optimize training and inference pipelines using distributed computing frameworks (Ray RLlib, Horovod).
Apply model optimization techniques (quantization, ONNX, T

📌 Agentic Ai Engineer Sahibzada Ajit Singh Nagar
🏢 XenonStack
📍 Sahibzada Ajit Singh Nagar