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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformGRPCKubernetesMicroservicesPython
About the role
Key responsibilities & impact- Design and build scalable backend services and APIs (REST/gRPC) for AI-powered applications
- Develop systems for LLM inference orchestration, including query processing pipelines and context enrichment
- Implement runtime safety and validation layers
- Build and optimize model serving integrations for high-throughput, low-latency inference
- Develop data pipelines and storage systems for logs, metadata, and auditability
- Work closely with ML engineers to productionize research into reliable services
- Contribute to system reliability, observability, and performance optimization
Requirements
What you’ll need- 5–10+ years of experience in backend or distributed systems engineering
- Strong proficiency in Python, Go, or similar backend languages
- Experience designing scalable APIs and microservices
- Experience with cloud platforms (AWS/GCP/Azure)
- Familiarity with Kubernetes and containerized workloads
- Strong understanding of system design, reliability, and performance trade-offs
- Experience working with LLM-based systems
- Experience designing secure systems (auth, access control, data protection)
Benefits
Comp & perks- Flexible working hours
- A medical healthcare plan and annual health check-up
- A friendly bunch of colleagues
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
PythonGoRESTgRPCLLM inference orchestrationquery processing pipelinesmodel serving integrationsdata pipelinessystem designsecure systems
Soft Skills
collaborationcommunicationproblem-solvingperformance optimization