Forward-Deployed AI Data Engineer
Edisyl, identified in the site’s patent disclosure as Flipside Crypto Inc, provides enterprise semantic-data infrastructure and AI-agent systems. It helps organizations encode internal metric definitions and connect data sources so AI systems, pipelines, and intelligence workflows can operate using the organization’s own business context.
Funding history
About edisyl
Edisyl builds a semantic layer for enterprise data that captures organizational definitions, metric logic, and otherwise undocumented knowledge, then binds that context to existing data systems. Its platform comprises Stratum, the semantic intelligence layer; Forge, an agent framework and tools layer; and Lattice, agent-fleet orchestration. The company deploys these capabilities in client environments for use cases including lead scoring, CRM write-back, automated briefings, multi-source data connectivity, and generation and validation of DBT transformation pipelines. Its foundation includes prior blockchain-data infrastructure and entity-resolution work across multiple chains.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead technical onboarding and implementation from data discovery through production deployment. You will build and troubleshoot connectors, pipelines, integrations, and AI-agent workflows; act as the primary technical contact after deployment; and turn field learnings into reusable implementation playbooks.
Requirements
- 4–8 years of data engineering and direct deployment or customer-facing experience
- Experience in enterprise data environments
- SQL proficiency
- Experience with DuckDB, dbt, or similar tools
- Python proficiency preferred
- Ability to read and write API integrations
- Experience building or deploying AI-agent workflows
- Client-facing experience
Responsibilities
- Lead technical onboarding and implementation through production deployment
- Build, configure, and troubleshoot data connectors, pipelines, and AI-agent workflows
- Work with Forge, Lattice, and Stratum
- Serve as the primary technical contact for accounts after deployment
- Surface product gaps, failure modes, and recurring patterns to engineering
- Develop implementation playbooks
- Support pre-sale scoping, technical discovery, and proof-of-concept builds
Benefits
- Meaningful early-stage equity
- Remote work
