Forward Deployed Engineer

Vendasta•Corman Park No. 344, SK

5d•Hybrid

About The Position

The Forward Deployed Engineer is a front-line software engineer embedded directly in high-stakes customer implementations. Operating at the intersection of platform capabilities and real-world client constraints, you will act as a strategic bridge between Sales and Research & Development. You will bridge-build integration gaps by rapidly constructing custom "Gravel Roads" to unlock customer value immediately, then document and abstract those solutions so central R&D can pave them into standard "Paved Highways". As a Forward Deployed Engineer, you'll work with Sales, Research & Development, central Product Engineering, and client executives to design & build enterprise data integrations, RAG pipelines, and multi-system API workflows. You will construct automated Evaluation test suites to benchmark system performance and retrieval accuracy against real customer data. You will rapidly build production-grade custom code, glue scripts, and workaround solutions for unmet platform needs in client environments, ensuring all work is tracked in Jira for accountability. You will partner directly with central Product Engineering to abstract field hacks and bespoke integrations into standard platform features, avoiding the creation of a "shadow backlog". You will diagnose and fix high-tier production bugs, API failures, model execution errors, and pipeline drops in live deployments.

Requirements

Full-stack and AI/data fluency with proficiency in Python, TypeScript, REST APIs, Vector Databases, and RAG architecture.
Exceptional communication bandwidth to translate technical bottlenecks to client executives.
Proven ability to exercise discretion, diplomacy, and bring technical clarity.
You thrive in chaotic, high-visibility, client-facing environments and prefer building quick production fixes in messy legacy code over insulated spec sheets.
You grasp non-deterministic software architecture, understand that LLMs are probabilistic, and instinctively know how to debug AI agent failures at API steps or context retrieval without finger-pointing.

Responsibilities

Design & build enterprise data integrations, RAG pipelines, and multi-system API workflows.
Construct automated Evaluation test suites to benchmark system performance and retrieval accuracy against real customer data.
Rapidly build production-grade custom code, glue scripts, and workaround solutions for unmet platform needs in client environments, ensuring all work is tracked in Jira for accountability.
Partner directly with central Product Engineering to abstract field hacks and bespoke integrations into standard platform features, avoiding the creation of a "shadow backlog".
Diagnose and fix high-tier production bugs, API failures, model execution errors, and pipeline drops in live deployments.