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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TypeScriptPythonLLM OpsML Opsbackend systemsdeveloper toolinginternal platformsbuilding ML architecturestesting ML architecturesdeploying ML architectures
Soft Skills
collaborationlearningthoughtful engineeringcommunicationproblem-solving
Tools & Technologies
AI PlatformLLM proxy serverplatform APIsreusable toolingemerging toolsAI ecosystem
Industry Keywords
machine learninggenerative AIperformance improvementreliabilitysafetycost efficiency
Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- Contribute to shared AI Platform capabilities supporting teams building with machine learning and generative AI
- Work mostly in TypeScript & Python
- Help develop and maintain core services such as the LLM proxy server, platform APIs, and reusable tooling
- Build and improve parts of the LLM Ops and ML Ops stack
- Help design and implement systems improving performance, reliability, safety, and cost efficiency of AI-powered experiences
- Collaborate closely with engineers across product, infra, and data teams
- Evaluate emerging tools, models, and patterns in the AI ecosystem
Requirements
What you’ll need- 4+ years of experience in software engineering
- At least 1 year of experience in LLM Ops, ML Ops, or adjacent platform/infrastructure work
- Experience contributing to backend systems, developer tooling, internal platforms, or infrastructure that supports other engineers
- Experience of working through the full lifecycle of building, testing, deploying, and scaling ML/LLM architectures
- Thoughtful about engineering trade-offs in production systems.
- Enjoy working collaboratively and learning from others
Benefits
Comp & perks- Offers Equity
- Offers Bonus
