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Tech Stack
Tools & technologiesDockerFlaskGoJavaKubernetesPythonRaySpark
About the role
Key responsibilities & impact- Design and build AI-first systems with a focus on agentic AI
- Develop GPU-accelerated pipelines using RAPIDS
- Implement observability, fault tolerance, auto-scaling, and cost-aware execution
- Establish CI/CD for AI services
- Document systems thoroughly; contribute to design reviews and engineering best practices
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
- Distributed frameworks: Ray, Spark, or Dask
- Accelerated compute: RAPIDS (cuDF/cuML/cuGraph) and GPU-aware programming concepts (streams, memory)
- Service frameworks: FastAPI/Flask (Python), K8s (Kubernetes) and containerization (Docker)
- Strong foundations in data structures/algorithms, concurrency, networking, and systems design
Benefits
Comp & perks- 401(k) match
- stock purchase plan
- paid maternity and parental leave
- PTO
- multiple health plans
- performance-based bonus awards
- access to Live Better U education benefit program for full-time and part-time associates
- short-term and long-term disability
- company discounts
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
PythonGoJavaC++RaySparkDaskRAPIDSFastAPIFlask
Soft Skills
communicationcollaborationdocumentationdesign reviewengineering best practices
Certifications
Bachelor's in Computer ScienceMaster's in Engineering