Software Engineer - AI Systems
XBOW
Descripcion del puesto
About the role
We are looking for a Software Engineer with deep expertise in LLM prompting, orchestration, and software engineering to design and implement systems that coordinate large language models with real‑world tasks.
Key responsibilities
- Build LLM‑powered software by designing prompt flows and orchestrations that ensure high performance with no false positives.
- Architect and build a production‑grade, testable, and maintainable AI‑powered software stack.
- Design experiments and evaluation frameworks for performance testing at scale and conduct data analysis.
- Collaborate with AI, security, frontend, and backend teams to create end‑to‑end systems.
- Own projects from ideation through deployment and production monitoring.
- Continuously research advancements in LLMs to improve system speed and quality.
Required profile
- Strong experience building software around LLMs, including prompting, agentic orchestration, fault‑tolerance, and integration with hard‑coded logic.
- Solid software engineering skills for architecting production‑grade, reliable, maintainable systems.
- Proficiency in TypeScript or ability to learn new programming languages quickly.
- Independent problem‑solver comfortable with incomplete information and rapid hypothesis testing.
- Adaptable, collaborative, and eager to own projects in a fast‑moving, research‑driven environment.
- MSc or equivalent in computer science, math, physics, or machine learning (or higher).
Required skills
- TypeScript
What we offer
- Competitive salary and generous equity package.
- Opportunity to shape your role, lead functions, and grow with the company.
- Work on technically complex challenges at the intersection of AI and cybersecurity.
- Remote‑first work environment with regular in‑person meetups.
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