Salary
💰 $140,000 - $180,000 per year
Tech Stack
AWSCloudFlaskPythonTerraform
About the role
- Design and deliver scalable AI systems that connect models, data, and products
- Turn research prototypes into secure, reliable, production-ready services
- Build pipelines and serving layers that power adaptive, real-time features
- Partner with other engineering teams to ensure performance and reliability
- Create reusable SDKs and libraries that accelerate AI adoption company-wide
- Champion observability, testing, and secure-coding best practices
- Anticipate emerging AI and cloud trends to guide technical evolution
Requirements
- 5+ years of experience building and operating large-scale, cloud-native or SaaS systems (preferably in AWS)
- Proficiency in Python and modern API frameworks such as FastAPI or Flask
- Hands-on experience with CI/CD pipelines (we use GitLab) and infrastructure-as-code (we use Terraform)
- Practical experience delivering AI/ML features - RAG, orchestration, embeddings, or agentic workflows - in production
- Commitment to engineering quality - you design for reliability, testability, and long-term maintainability
- Company-wide bonuses based on monthly sales targets
- Employee referral bonuses
- Adoption assistance
- Tuition reimbursement
- Certification reimbursement
- Certification completion bonuses
- Relaxed dress code
- Access to a modern, high-tech, and fun work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonFastAPIFlaskCI/CDinfrastructure-as-codeTerraformAI/ML featuresRAGorchestrationembeddings
Soft skills
engineering qualityreliabilitytestabilitylong-term maintainability