Cloud Engineer- Agentic Ai

Role Summary
Build, integrate, and ship Agentic AI solutions into production systems.

Key Responsibilities

• Develop agents using Google Agent Development Kit or similar frameworks
• Implement tools, plugins, APIs, and orchestration logic
• Build RAG pipelines, embeddings, and context management
• Fine-tune / adapt models and prompts based on real-world usage
• Integrate with backend systems (policy admin, CRM, workflows)
• Monitor, debug, and optimize agent performance in production

Must-Have Skills

• 3–8 years of software engineering + AI/ML experience
• Hands-on experience building and shipping LLM-based applications
• Strong coding skills (Python/Node.js)
• Experience with APIs, microservices, and cloud platforms

Good to Have

• Health insurance workflows
• Experience with evaluation frameworks and prompt tuning