AI Agent Engineer
Symbolica AI7 months ago
Responsibilities
- Design new agentic systems within our framework and test their limits.
- Implement and evaluate open-source and customer-specific agentic systems.
- Identify and solve bottlenecks in the agent ecosystem.
- Stay updated on new research and incorporate cutting-edge AI features.
Requirements
- Deep understanding of LLM architecture and inference-time optimization.
- Strong knowledge of the agentic ecosystem, including frameworks and tools.
- Proven track record of rapid prototyping in the LLM/agent space.
- Experience orchestrating and evaluating complex multi-agent systems.
- Solid software engineering skills in Python and/or TypeScript.
Benefits
- Competitive salary plus early-stage equity package.
- High-trust, execution-first culture with minimal bureaucracy.
- Direct ownership of meaningful projects with tangible impact.
- Opportunity to work at the interface of deep research and real-world productization.
Tech Stack
Categories
AI & MLData Science