5-7 years of experience in AI/ML Generative AI or AI Engineering.
Strong experience with AI Agents / Agentic AI.
Hands-on experience with LLMs (GPT Gemini Claude Llama etc.) and Generative AI.
Proficiency in Python.
Experience with Google Cloud Platform (GCP).
Experience in Machine Learning model deployment and production environments.
Strong knowledge of AI testing validation and performance evaluation.
Experience defining AI performance metrics KPIs and operational guardrails.
Experience with production monitoring issue analysis troubleshooting and AI performance optimization.
Understanding of MLOps/LLMOps CI/CD and AI model lifecycle management.
Excellent communication and stakeholder management skills.
Key Responsibilities
Define and monitor AI agent performance metrics and operational KPIs.
Design and execute testing and validation strategies for AI agents.
Deploy AI agents and AI models on GCP.
Monitor production performance troubleshoot issues and optimize AI systems.
Ensure operational readiness and production stability before releases.
Collaborate with product engineering and business teams to deliver reliable AI solutions.
Drive continuous improvement in AI agent quality scalability and reliability.
Preferred Skills
LangChain LangGraph CrewAI AutoGen or similar AI agent frameworks.
Experience with Prompt Engineering RAG Vector Databases and AI Observability.
Experience in cloud-native AI deployments and monitoring.
Required Skills:
LLMAgentic AIPythonPerformance Manager
Company name : Willware Technologies Role :AI Agent Performance Manager Experience : 7 Years Location : Pune JD Mandatory Skills 5-7 years of experience in AI/ML Generative AI or AI Engineering. Strong experience with AI Agents / Agentic AI. Hands-on experience with LLMs (GPT Gemini Claude Llama et...
Company name : Willware Technologies
Role :AI Agent Performance Manager
Experience : 7 Years
Location : Pune
JD
Mandatory Skills
5-7 years of experience in AI/ML Generative AI or AI Engineering.
Strong experience with AI Agents / Agentic AI.
Hands-on experience with LLMs (GPT Gemini Claude Llama etc.) and Generative AI.
Proficiency in Python.
Experience with Google Cloud Platform (GCP).
Experience in Machine Learning model deployment and production environments.
Strong knowledge of AI testing validation and performance evaluation.
Experience defining AI performance metrics KPIs and operational guardrails.
Experience with production monitoring issue analysis troubleshooting and AI performance optimization.
Understanding of MLOps/LLMOps CI/CD and AI model lifecycle management.
Excellent communication and stakeholder management skills.
Key Responsibilities
Define and monitor AI agent performance metrics and operational KPIs.
Design and execute testing and validation strategies for AI agents.
Deploy AI agents and AI models on GCP.
Monitor production performance troubleshoot issues and optimize AI systems.
Ensure operational readiness and production stability before releases.
Collaborate with product engineering and business teams to deliver reliable AI solutions.
Drive continuous improvement in AI agent quality scalability and reliability.
Preferred Skills
LangChain LangGraph CrewAI AutoGen or similar AI agent frameworks.
Experience with Prompt Engineering RAG Vector Databases and AI Observability.
Experience in cloud-native AI deployments and monitoring.