Description

You will design, develop, and implement an agentic customer engagement platform leveraging Generative AI capabilities.

Responsibilities

• Develop and integrate autonomous agents that plan, execute, and monitor tasks across cloud platforms, including RAG, tool use, and workflow automation.
• Integrate LLMs, vector search, and ML capabilities to power conversational experiences and intelligent recommendations.
• Collaborate with teams to integrate agents, tools, and cloud services, ensuring seamless functionality.
• Monitor, operate, and optimize the solution for performance, cost efficiency, and high availability.
• Contribute to architectural strategy via code reviews and technical discussions.

Required Skills

• 5+ years of software development experience using Python, Go, Java, or C++.
• Experience administering AWS, GCP, or Azure, covering networking, security, and containerization.
• Proficiency with CI/CD tools for automated testing and deployments.
• Deep understanding of observability tools (monitoring, alerting, logging) in cloud environments.
• Practical experience with MLOps principles for managing the machine learning lifecycle.
• Familiarity with Agent Development Kit (ADK) and Model Context Protocol (MCP).
• Strong skills in prompt engineering for optimizing Generative AI model outputs.
• Ability to manage incidents, perform root cause analysis, and conduct post-mortem reviews.

Preferred Skills

• Experience in SRE, DevOps, MLOps, infrastructure, or cloud engineering supporting distributed systems.

Key Skills

Education

Any Gradute