We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable.
Requirements
- 5+ years of hands-on software engineering experience
- Proven ability to execute on incomplete specs and drive projects to completion
- Strong experience writing production-quality code (Python & Rust strongly preferred)
- Comfortable building full-stack systems (APIs, data pipelines, microservices, internal tools)
- High standards for code quality, maintainability, and correctness
- Comfortable in fast-moving, ambiguous environments where priorities shift quickly
- Bias for ownership: you see what needs to get done and take responsibility for delivering
- Experience supporting ML research or building ML infrastructure is a plus
- 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.
Benefits
- Competitive salary
- Early-stage equity package
- High-trust, execution-first culture with minimal bureaucracy
- Direct ownership of meaningful projects with real business impact
- A rare opportunity to sit at the interface between deep research and real-world productization