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Senior Software Engineer – Pipeline Team
Foundation AISenior Software Engineer to design and operate infrastructure for production AI systems. Join Foundation AI, shaping the future of document intake automation.
Tech Stack
Tools & technologiesAirflowApacheAWSCloudPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain end-to-end ML pipelines
- Own model and data versioning
- Build side-by-side deployment infrastructure
- Implement drift detection and alerting
- Extend CI/CD practices to ML lifecycle
- Design robust, secure ML infrastructure
- Provide mentorship and guidance
Requirements
What you’ll need- 5+ years in software engineering
- 2–3 years in ML engineering, MLOps, or AI platform roles
- MLOps & ML Lifecycle
- Proficiency with workflow orchestration
- Proficiency with experiment tracking
- Experience with AWS services
- Proficient in Python
- Experience with SQL
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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
machine learningMLOpsML lifecycleworkflow orchestrationexperiment trackingPythonSQL
Soft Skills
mentorshipguidance