17 Aug
|
Nameless
|
Sahibzada Ajit Singh Nagar
17 Aug
Nameless
Sahibzada Ajit Singh Nagar
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:
- Agentic Systems for AI Agents â akira.ai
- Vision AI Platform â xenonstack.ai
- Inference AI Infrastructure for Agentic Systems â nexastack.ai
Our mission is to accelerate the world’s transition to AI + Human Intelligence by making AI agents enterprise -ready, reliable, and production -grade.
THE OPPORTUNITY
We are seeking an AgentOps Engineer to deploy, monitor, and optimize agentic AI systems in production environments.
This role is at the core of AI observability and operational reliability, ensuring that multi -agent workflows perform consistently, safely, and efficiently. You’ll work at the intersection of MLOps, DevOps, and Agentic AI, enabling enterprises to confidently adopt AI agents at scale.
KEY RESPONSIBILITIES
- Agent Deployment & Operations
- Deploy and maintain LLM -powered and multi -agent systems across cloud and on -prem environments.
- Integrate agents with enterprise APIs, knowledge bases, and third -party systems.
- Monitoring & Observability
- Implement agentic observability frameworks to track performance, latency, cost, and accuracy.
- Monitor execution traces, context windows, and agent interactions for anomalies.
- Optimization & Reliability
- Fine -tune agent configurations for cost efficiency, scalability, and response quality.
- Implement fallbacks, guardrails, and redundancy mechanisms to ensure reliability.
- Evaluation & Feedback Loops
- Build automated pipelines to evaluate agent performance, safety, and compliance.
- Feed test results into continuous improvement loops with ML/AI engineers.
- Security & Compliance
- Ensure agents follow enterprise security, governance, and compliance standards.
- Collaborate with Responsible AI teams to implement trust, safety, and audit mechanisms.
- Cross -Functional Collaboration
- Work with AI engineers, DevOps, and product managers to align operational reliability with business outcomes.
- Support customer deployments with customized monitoring and tuning.
SKILLS & QUALIFICATIONS
Must -Have
- 2–5 years of experience in DevOps, MLOps, or AI systems engineering.
- Hands -on with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex).
- Familiarity with AgentOps tools (LangSmith, PromptLayer, Weights & Biases, Arize AI).
- Proficiency in Python and scripting for automation.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Understanding of RAG pipelines, vector databases, and context orchestration.
Valuable -to -Have
- Exposure to multi -agent orchestration (MCP, A2A messaging, AgentBridge).
- Experience in Responsible AI / model evaluation frameworks.
- Familiarity with CI/CD pipelines for AI models and agents.
- Background in BFSI, GRC, SOC, or enterprise SaaS systems.
WHY SHOULD YOU JOIN US?
1.
Agentic AI Product Company
Work on next -gen AI platforms where agent reliability and observability define enterprise adoption.