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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Build and evolve shared AI Platform capabilities
- Improve LLM Ops and ML Ops capabilities
- Design and implement systems for performance and reliability
- Identify tooling gaps and standardize best practices
- Collaborate closely with cross-functional teams
- Evaluate emerging AI tools and models
Requirements
What you’ll need- 7+ years of experience in software engineering
- At least 3 years in building distributed, scalable, cloud-based ML/AI systems
- Strong communication skills
- Experience in LLM Ops or ML Ops
- Experience building shared services and reusable developer tooling
- Documenting trade-offs in development
- Building with cloud infrastructure technologies
- Experience working through the full lifecycle of ML/LLM architectures
Benefits
Comp & perks- Offers Equity
- Offers Bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringdistributed systemsscalable systemscloud-based systemsML OpsLLM Opsdeveloper toolingML architectureAI platform capabilitiesperformance and reliability systems
Soft Skills
communication skillscollaborationdocumentation