Key skills
PythonGoAILLMAgenticCommunication
About this role
Role Overview
- Own the agentic-evaluation engine.
- Build the capability that scores agents on the metrics that matter.
- Evaluate stateful, multi-turn behaviour
- not single prompts.
- Make evaluation trustworthy.
- Build the agentic-security surface.
- Close the lab-to-production gap.
- Translate governance into engineering.
- Extend into emerging autonomy.
Requirements
- 5+ years of professional software engineering, shipping and operating production systems (not prototypes) in Python.
- Demonstrated depth in agentic AI
- you've built, orchestrated, or rigorously evaluated LLM agents, and understand tool-calling, memory, multi-step control flow, and modern interoperability.
- A real grasp of how agents are measured
- and how measurement fails.
- Strong engineering judgement
- you can take an ambiguous, research-adjacent problem, scope it, decompose it, and drive it to a shipped, tested, observable outcome without close supervision.
- A genuine bias to go deep and stay hands-on, paired with the communication to be the person others come to for this domain
- you document decisions and leave work others can pick up.
- Clear written and verbal communication, and comfort being measured against concrete quarterly outcomes, including across a distributed Singapore-Europe team.
Tech Stack
- Python
Benefits
- Flexible work arrangements