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Tech Stack
Tools & technologiesGoJavaPythonRaySpark
About the role
Key responsibilities & impact- Design and build AI-first systems focuses on agentic AI and scalable services.
- Collaborate with DS/MLE partners to productionize models behind stable APIs and SDKs.
- Develop GPU-accelerated pipelines using RAPIDS and optimize performance.
- Implement observability, fault tolerance, auto-scaling, and security for AI services.
- Mentor peers on AI systems patterns and performance engineering.
Requirements
What you’ll need- Bachelor’s/Master’s in CS, Engineering, or equivalent industry experience.
- 4+ years building production backend or platform services (preferably in AI/ML contexts).
- Proficiency in Python (primary), plus one of Go/Java/C++ for performance services.
- Experience with distributed frameworks: Ray, Spark, or Dask.
- Familiarity with RAPIDS (cuDF/cuML/cuGraph) and GPU-aware programming concepts.
- Strong foundations in data structures/algorithms, concurrency, networking, and systems design.
- Production experience with agent frameworks, vector databases, and feature stores is preferred.
Benefits
Comp & perks- Beyond our great compensation package, you can receive incentive awards for your performance.
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Live Better U education benefit program for associates.
- Short-term and long-term disability
ATS Keywords
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Hard Skills & Tools
PythonGoJavaC++RAPIDSRaySparkDaskdata structuresalgorithms
Soft Skills
collaborationmentoringperformance engineering
Certifications
Bachelor’s in CSMaster’s in Engineering