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Inception Tech Stack
AI infrastructure and LLM application platform for enterprise deployment
Inception builds AI infrastructure and agentic orchestration systems on Kubernetes + Terraform + PyTorch/TensorFlow, deployed across AWS, Azure, and GCP. The hiring mix is engineering-heavy (16 of 25 named roles) with a 13:5:2 senior-to-manager-to-director split, suggesting a focus on deep technical execution over rapid scaling. Active projects center on scalable AI infrastructure, LLM deployment, and agentic AI orchestrators—aligned with stated pain points around capacity management, security integration, and latency in AI application scaling.
Tech Stack 42 technologies
Core StackTerraform Ansible Kubernetes Python Ruby Java JavaScript TensorFlow PyTorch AWS Hadoop Apache Spark GraphQL Docker Azure DevOps Jira ServiceNow Pandas Bash PowerShell TOGAF Azure GCP SQL Azure Kubernetes Service Azure Stack Azure Pipelines vLLM REST API R+12 more
What Inception Is Building
◆Challenges
- Capacity and utilization management
- Technology modernization
- Process improvement within delivery organization
- Disaster recovery
- Improving efficiency of oil and gas operations
- Bridging dev-security-ops gap
- Inefficient deployment processes
- Security compliance challenges
- Scaling ai applications
- Latency optimization
▲Active Projects
- Ai r&d initiatives
- Scalable ai infrastructure
- Domain-specific agentic ai orchestrator platform
- Cloud optimization
- Automation and iac
- Genai product build
- Ci/cd pipeline security integration
- Iac implementation
- Llm-based application deployment
- Ai service orchestration with agentic pipelines
Hiring Activity
30 roles · 30 in 30d
Department
Seniority
Company intelligence
