AI Software Engineer – Agents
| Company | Nexus |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- Solid engineering skills in Python and experience deploying AI systems.
- Deep understanding of LLMs, prompt engineering, and tool-augmented inference.
- Familiarity with multi-agent systems, planning algorithms, or memory architectures.
Responsibilities
- Build frameworks for task planning, tool-use, and memory in LLM-powered agents.
- Develop execution environments and APIs for agent actions and monitoring.
- Collaborate closely with researchers to test and scale agent architectures.
- Optimize agent behavior for reliability, latency, and cost.
- Contribute to evaluations and benchmarks for autonomy, robustness, and alignment.
Preferred Qualifications
- Experience in robotics, game AI, or reinforcement learning.
- Building agents for productivity, research assistance, or developer tools.
- Background in cognitive architectures or decision-making systems.