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# Senior Software Engineer - Agentic Systems

- **Company:** Strativ Group
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $200,000
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Data Infrastructure, Machine Learning, Systems Architecture, Large Language Models, State Machines, Agentic-AI, Build Management
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_e83b9be40802aa8fa767d86f945bf5bc

## About the Role

* Strong experience building agent systems, LLM orchestration frameworks, or structured tool-calling pipelines
 * Deep intuition for schemas, action abstractions, deterministic execution, and reproducibility
 * Experience reasoning about system-level failure modes, edge cases, and safe tool interaction
 * Comfort operating across AI models, systems engineering, and domain-specific tooling
 * A builder's mindset - you enjoy ambiguous problems, first-principles design, and owning systems end-to-end

Above all, they are looking for engineers who demonstrate exceptional technical depth, strong ownership, and the ability to build reliable agent systems that operate under real-world constraints.

## Description

They are hiring a Senior Software Engineer to design and build the core planning and orchestration layers that allow LLM-based agents to reliably execute multi-step engineering tasks. You will work closely with systems, data, and ML teams to integrate agent workflows into real production toolchains. This role offers deep technical ownership and the opportunity to shape how intelligent agents interact with complex systems at scale., * Designing and implementing agent planners, orchestration flows, and state machines using modern agent frameworks

 * Building deterministic tool-calling pipelines with structured schemas and traceable execution paths
 * Developing action adapters and cross-tool interfaces that enable safe, reproducible agent behavior
 * Implementing robust error handling, retries, timeouts, rollbacks, and replay mechanisms
 * Collaborating across systems architecture, data infrastructure, and ML teams to deploy agents into real engineering environments