Senior Software Engineer, Applied AI & Customer Solutions
Core
Build and deploy AI-powered solutions directly with enterprise and campus customers, operating across the full engagement lifecycle from scoping to production deployment.
Role type
Senior Software Engineer (Applied AI & Customer Solutions)
Builds
Production-grade, secure, and compliant AI solutions deployed in customer environments
Domain
Enterprise Education / Applied AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Backend engineering (Python, Java, Typescript), Cloud infrastructure (AWS), Data engineering, Identity and access management, Secure network patterns (mTLS, VPC peering, PrivateLink), CI/CD, Observability
Preferred skills
Agentic AI tooling (LangChain, LangGraph, RAG), Analytical data layers (Postgres, DuckDB, pgvector), Solutions engineering experience, Data privacy regulations (GDPR, FERPA, DPDPA, HIPAA)
Technologies
Python, Java, Typescript, Docker, Kubernetes, Kafka, AWS, LangChain, LangGraph, FastMCP, RAG, MCP, Postgres, DuckDB, pgvector
Responsibilities
Map customer systems and workflows to identify business problems, Rapidly prototype and demo working solutions, Harden validated prototypes into production deployments, Design multi-tenant or hybrid deployment architectures, Own CI/CD and production support for customer-embedded systems, Travel to customer sites for discovery and go-live phases
Seniority
Senior, hands-on IC with customer-facing responsibilities
