Senior AI Engineer
Design, Build and Deploy
- Architect production AI systems. Build Python backend services that integrate LLMs using the MCP and cloud-native infrastructure.
- Develop agentic workflows. Design stateful, multi-step AI applications using frameworks such as LangGraph.
- Engineer for reliability. Implement structured outputs, security guardrails, human-in-the-loop approval flows, and observability.
Take Ownership of the Work
- Contribute to architectural decisions. Evaluate technical trade-offs and help shape solutions from requirements through deployment.
- Collaborate directly with client teams. Work alongside ML engineers, product managers, and other technical stakeholders to deliver AI capabilities.
- Monitor application behavior, address performance issues, and contribute to engineering standards through code review and knowledge sharing.
Build AI Systems That Work Beyond The Demo
Scalable Backend Architectures
Design Python services and APIs that connect foundation models to enterprise applications. Build secure, maintainable systems that support real workloads.
Agentic Workflows
Develop multi-step AI workflows using LangGraph, MCP, and tool integrations. Manage state, orchestration, and execution across complex application flows.
AI Security and Guardrails
Implement boundary controls, structured outputs, and human-in-the-loop approvals to support reliable and responsible AI applications.
System-Wide Observability
Monitor agent behavior, application health, and LLM performance. Use observability tools to identify failures, evaluate system behavior, and improve performance in production.
Your Path to Factored
Apply
Share your experience in software engineering, Python, and production AI systems. Our recruiting team reviews your background against the role requirements.
Technical Evaluation
Demonstrate how you approach engineering problems, system design, and technical decisions through the assessments and conversations applicable to this role.
Explore The Opportunity
Learn more about the responsibilities, collaboration model, and next steps with the recruiting team. The team will communicate your status as you progress.
FAQs
Research | Our team has published at NeurIPS, ICML, NASA and more.
