Key skills
AWSAzureCloudDockerJavaKubernetesNeo4jPostgresPrometheusPythonPyTorchRedisTensorflowGoAIMLLLMClaudeAgenticAutoGenTensorFlowLangGraphPostgreSQLOpenTelemetryGitHubRemote Work
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 with search/discovery, quality scoring, security vetting pipelines, and approval workflows
- 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
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
- 401K savings plan vested from day one with a 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Mental healthcare and fertility and adoption assistance
- Workplace flexibility with GEICO Flex program for remote work