Note: The job is a remote job and is open to candidates in USA. TubeScience builds software systems that combine AI, engineering, and automation to solve complex operational problems at scale. The Senior Applied AI Engineer will design, deploy, operate, and continuously improve AI-powered enterprise systems that automate internal business processes, partnering with stakeholders across the company.
Responsibilities
- Design and build production AI applications that automate complex enterprise workflows
- Architect agent-based systems that coordinate LLMs, APIs, internal services, databases, and business logic
- Build reliable orchestration layers that integrate multiple tools and enterprise platforms
- Deploy production-ready AI systems with observability, monitoring, rollback strategies, and operational safeguards
- Investigate production issues, analyze logs, debug failures, and restore system reliability when incidents occur
- Design scalable architectures that prioritize maintainability, resiliency, and operational excellence
- Partner closely with Product, Operations, Creative, Engineering, and Business teams to identify high-impact automation opportunities
- Rapidly prototype, validate, deploy, and iterate solutions based on production performance and business outcomes
- Continuously improve existing AI systems for reliability, speed, and business impact
Skills
- **3–6+ years** of professional software or systems engineering experience
- Experience building and operating production software used by real users or internal business teams
- Strong Python engineering experience
- Experience integrating modern LLMs into production systems using frameworks such as OpenAI, Anthropic, LangGraph, MCP, or similar
- Experience designing systems that coordinate multiple APIs, databases, services, and enterprise applications
- Strong understanding of distributed systems, debugging, logging, monitoring, and production operations
- Experience deploying, operating, troubleshooting, and improving production systems after launch
- Strong architectural thinking with the ability to design complete end-to-end solutions
- Comfort working independently in a fast-paced startup environment
- Systems Engineering
- Platform Engineering
- Backend Software Engineering
- DevOps / Infrastructure Engineering **with significant software development experience**
- Internal Developer Platforms
- Enterprise Systems Engineering
- Experience at a large technology company building production systems is highly valued
- * Multi-agent systems
- * LangGraph, MCP, Temporal, or similar orchestration frameworks
- * Event-driven architectures
- * Docker and Kubernetes
- * AWS, GCP, or Azure
- * CI/CD pipelines
- * Observability platforms (Datadog, Grafana, OpenTelemetry, etc.)
- * Internal developer platforms
- * Enterprise integrations
Benefits
- Remote work option for employees in the US; Los Angeles is preferred
Company Overview
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