AI Application Engineer
Core
Design, develop, and maintain backend infrastructure for an AI-powered platform using multi-agent system architecture and LLMs for a global insurance leader.
Role type
Senior AI Application Engineer (Backend)
Builds
Production-grade multi-agent AI systems, LLMOps pipelines, and backend services for insurance solutions.
Domain
Insurance / Generative AI / Multi-Agent Systems
Deliverable
production ML models
Required skills
Python backend development, multi-agent system design, LLM prompt engineering, LLMOps/AgentOps, RDB/NoSQL database management, cloud development (GCP)
Preferred skills
Experience with GCP Vertex AI, AgentOps, MCP protocols, hybrid cloud environments (on-prem + cloud)
Technologies
Python, GCP (GKE, GCE, Vertex AI), SQL, PostgreSQL, Redis, Firestore, Qdrant, Docker, Kubernetes, Terraform, GitHub Actions, Langfuse, Kafka, Airflow
Responsibilities
Design and maintain backend infrastructure for multi-agent AI systems; Develop and optimize prompts for LLMs; Implement and manage LLMOps/AgentOps pipelines; Integrate AI models with platform components; Troubleshoot AI backend issues for performance and scalability; Collaborate with Data Engineers and Data Scientists to deliver AI solutions.
Seniority
Senior, hands-on IC