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 OPPORTUNITY
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
.
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 dynamic 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, 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.
- Document processes, experiments, and lessons learned for continuous improvement.
Skills Requirements
Technical Skills
- 2–5 years of hands-on experience with Reinforcement Learning frameworks (Ray RLlib, Stable Baselines, PyTorch RL, TensorFlow Agents).
- Strong programming skills in Python; proficiency with PyTorch / TensorFlow.
- 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.
- Knowledge of multi-agent systems and collaborative RL is a strong plus.
- Familiarity with LLMs + RLHF (Reinforcement Learning with Human Feedback) is desirable.
- Exposure to cloud platforms (AWS/GCP/Azure), containers (Docker, Kubernetes), and CI/CD for ML.
Professional Attributes
- Strong analytical and problem-solving mindset.
- Ability to balance research depth with practical engineering for production-ready systems.
- Collaborative approach, working across AI, data, and platform teams.
- Commitment to Responsible AI (bias mitigation, fairness, transparency).
XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!
At XenonStack, we believe in
shaping the future of intelligent systems
. We foster a
culture of cultivation
built on bold, human-centric leadership principles, where
deep work, simplicity, and adoption
define everything we do.
Our Cultural Values
- Agency – Be self-directed and proactive.
- Taste – Sweat the details and build with precision.
- Ownership – Take responsibility for outcomes.
- Mastery – Commit to continuous learning and growth.
- Impatience – Move fast and embrace progress.
- Customer Obsession – Always put the customer first.
Our Product Philosophy
- Obsessed with Adoption – Making AI agents accessible and enterprise-ready.
- Obsessed with Simplicity – Turning complex RL + agentic challenges into intuitive, reliable systems.
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
.
WHY SHOULD YOU JOIN US?
- 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.
- A Fast-Growing Category Leader
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
.
Move between roles and functions — from
AI Engineering to Product Marketing or AgentOps
— and craft a career that grows with your aspirations.
Work with
Fortune 500 enterprises, BFSI leaders, and global innovators
, delivering real-world impact across industries and geographies.
Contribute from day one. Even junior team members work on
mission-critical product features
that go into production.
Our values —
Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession
— empower you to push boundaries and innovate fearlessly.
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.
