Founding Software Engineer
Core
Architect and evolve core backend systems for real-time risk evaluation, semantic search, and investigation-grade querying to monitor and control AI behavior in enterprise environments.
Role type
Founding Software Engineer (Backend/Systems Architect)
Builds
Distributed pipelines for LLM interaction processing, real-time risk evaluation systems, and policy enforcement workflows.
Domain
Enterprise AI Safety, Observability, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, Streaming data pipelines, Golang, Python, gRPC, REST, Kubernetes, Cloud-native services (AWS/GCP/Azure), Schema evolution, Data modeling, Performance optimization, System debugging
Preferred skills
Semantic search, Vector embeddings, AI agent infrastructure (LangChain, CrewAI, Autogen), OpenTelemetry, Event trace modeling, Model Context Protocol (MCP)
Technologies
Kafka, Redpanda, Postgres, ClickHouse, S3, Qdrant, gRPC, REST, Kubernetes, AWS, GCP, Azure
Responsibilities
Architect event ingestion and real-time risk evaluation systems; Design and optimize streaming data pipelines; Define data models across structured, analytical, unstructured, and vector storage layers; Identify and resolve architectural weaknesses and performance bottlenecks; Implement data ingestion and transformation frameworks; Build and maintain backend APIs and monitoring infrastructure.
Seniority
Founding, hands-on IC
