AI Engineer - Artificial Intelligence/Machine Learning

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 .
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 dynamic 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 .
Experiment with reward function design to balance efficiency, accuracy, and long-term value creation.
Agentic AI System Design
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, TensorRT) for scalable deployment.
Evaluation & Monitoring
Develop pipelines for evaluating agent performance (robustness, reliability, interpretability).
Implement fail-safes, guardrails, and observability for safe enterprise deployment.
2–5 years of hands-on experience with Reinforcement Learning frameworks (Ray RLlib, Stable Baselines, PyTorch RL, TensorFlow Agents).

• Strong programming skills in Python; Experience designing and training RL algorithms (PPO, DQN, A3C, Actor-Critic methods).
• Familiarity with simulation environments (Gymnasium, Isaac Gym, Unity ML-Agents, custom simulators).
• Experience in reward modeling and optimization for real-world decision-making tasks.
• Exposure to cloud platforms (AWS/GCP/Azure), containers (Docker, Kubernetes), and CI/CD for ML.

Collaborative approach, working across AI, data, and platform teams.
Commitment to Responsible AI (bias mitigation, fairness, transparency).
Obsessed with Adoption – Making AI agents accessible and enterprise-ready.
Be part of our mission to reimagine adaptive, enterprise-grade AI agents with Reinforcement Learning and accelerate the world's transition to AI + Human Intelligence .
Agentic AI Product Company

Build enterprise-grade AI platforms powered by Machine Learning, Generative AI, and Agentic Systems. From Vision AI to Inference Infrastructure, you'll shape products that redefine enterprise AI adoption.

• XenonStack is one of the fastest-growing Data and AI Foundries , setting benchmarks in how businesses deploy and scale AI agents with platforms like Akira AI, NexaStack, and Vision AI .
• Career Mobility & Growth

Move between roles and functions — from AI Engineering to Product Marketing or AgentOps — and craft a career that grows with your aspirations.

• Even junior team members work on mission-critical product features that go into production.
• Responsible AI First

Join a company that prioritizes trustworthy, explainable, and compliant AI . You'll contribute to Responsible AI frameworks , ensuring our agentic systems are not just powerful, but also ethical and reliable.