Symbolica AI · 1 month ago
AI Agent Engineer
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. The AI Agent Engineer will work closely with researchers and ML engineers to design and implement new agentic systems, pushing the limits of the internal agent framework and bridging the gap between research and production.
Artificial Intelligence (AI)Software
Responsibilities
Design new agentic systems in our framework that were previously infeasible elsewhere — and test their limits
Implement and evaluate open-source agentic systems (and customer-specific ones) within our framework
Identify and solve bottlenecks in today’s agent ecosystem (e.g. context engineering, MCP constraints, inter-agent communication, memory)
Stay ahead of the curve by tracking new research and incorporating cutting-edge AI features as they’re released
Qualification
Required
Deep understanding of LLM architecture and inference-time optimisation
Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)
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
Preferred
Experience with autonomous, dynamic multi-agent systems (beyond DAGs)
Context engineering expertise
Embedding models & RAG
Improving model performance via fine-tuning
Benefits
Competitive salary + early-stage equity package.
High-trust, execution-first culture with minimal bureaucracy.
Direct ownership of meaningful projects with tangible impact.
A rare chance to work at the interface of deep research and real-world productization.
Company
Symbolica AI
Symbolica AI operates as a research-focused company.
Funding
Current Stage
Early StageTotal Funding
$33MKey Investors
Khosla Ventures
2024-04-09Series A· $33M
2024-04-09Seed
Recent News
2026-01-16
Company data provided by crunchbase