Equity-Backed Embedded AI Data Engineer

Edisyl; Boston; Hybrid; PHP 7,486,000 - 11,229,000; Full time

Benefits offered by this job

Equity

Job summary

edisyl is seeking a hands-on data engineering professional who can embed within client environments and drive AI agent workloads against messy, unprepared data. You will collaborate closely with the CTO and Enterprise Data Strategist on each account to ensure successful deployment outcomes and measurable results.

You’ll lead end-to-end implementations, build repeatable playbooks, and accelerate future engagements by surfacing product gaps and failure modes to the engineering team.

Qualifications

• 4–8 years combining hands-on data engineering with direct deployment or customer exposure—forward-deployed engineering, solutions engineering, data consulting, or technical implementation at a data or AI company.
• Experience inside enterprise data environments knowing what CRMs, warehouses, and legacy pipelines look like from the inside.
• SQL fluency; you think in queries, use DuckDB, dbt, or similar without looking things up; proficiency in Python preferred; comfortable reading and writing API integrations.
• Hands-on experience building or deploying AI agent workflows; you know where LLMs break against real data problems.

Responsibilities

• Lead technical onboarding and implementation from data environment discovery through production deployment.
• Build, configure, and troubleshoot data connectors, pipelines, and AI agent workflows inside client environments.
• Work directly with Forge, Lattice, and Stratum - our agent framework, orchestration layer, and semantic intelligence system.
• Serve as the primary technical point of contact for your accounts post-deployment.
• Surface what you're learning in the field - product gaps, failure modes, recurring patterns - back to engineering.
• Develop implementation playbooks from each engagement so the next one goes faster.
• Partner with the Enterprise Data Strategist and CEO on pre-sale scoping, technical discovery, and proof-of-concept builds

Skills

SQL

Python

API integrations

DuckDB

dbt

AI agent workflows

Tools

Forge

Lattice

Stratum

Job description

edisyl is seeking a hands-on data engineering professional who can embed within client environments and drive AI agent workloads against messy, unprepared data. You will collaborate closely with the CTO and Enterprise Data Strategist on each account to ensure successful deployment outcomes and measurable results.

You’ll lead end-to-end implementations, build repeatable playbooks, and accelerate future engagements by surfacing product gaps and failure modes to the engineering team.