Key skills
AWSAzureCloudDockerJavaKubernetesNeo4jPostgresPrometheusPythonPyTorchRedisTensorflowGoAIMLLLMClaudeAgenticAutoGenTensorFlowLangGraphPostgreSQLOpenTelemetryGitHub
About this role
Role Overview
- Architect scalable multi-tenant backend systems for AI agent workflows.
- Build an enterprise AI agent skill ecosystem.
- Implement an internal skill marketplace.
- Implement production-grade AI agent harnesses.
- Design feedforward guides and feedback sensors.
- Build and optimize context engineering systems.
- Develop observability frameworks with LLM-specific telemetry.
- Design layered guardrail architectures for AI safety and governance.
- Act as tech lead for a sub-team and provide mentorship.
Requirements
- Bachelor's in CS, Engineering, or related field; advanced degree highly desirable.
- 6+ years designing, implementing, and maintaining multi-tenant AI/ML systems in production.
- 6+ years with cloud platforms (Azure, AWS) and backend systems (Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4j).
- Deep understanding of Docker, Prometheus, and OpenTelemetry.
- Deep proficiency in Python, Java, or Go.
- Extra credit for effectively leveraging AI coding tools (Cursor, Claude Code, GitHub Copilot).
- Proficiency in AI/ML and agentic frameworks (TensorFlow, PyTorch, LangGraph, CrewAI, AutoGen).
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Java
- Kubernetes
- Neo4j
- Postgres
- Prometheus
- Python
- PyTorch
- Redis
- Tensorflow
- Go
Benefits
- Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
- Great Careers: Personalized development programs, mentorship, and certification assistance.
- Great Culture: Inclusive and collaborative culture rooted in shared success.
- Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.