Forward Deployed Engineer
100% Remote
6 Month Contract to Hire
U.S Citizenship Required
Why This Role
You'll work on projects that shape real production AI systems, creating the training and evaluation data behind the next generation of large language models and AI agents. You'll own technical data workflows end-to-end and help shape how the delivery team works as it grows.
About the Role
We're looking for a senior engineer to turn loosely defined customer needs into production-grade data, evaluation, and ML-assisted workflows for advanced AI systems. You'll own the full lifecycle of AI data pipelines: building and deploying the ML-based tooling that makes human-in-the-loop data generation and review faster, more reliable, and higher quality.
The role sits where data science, data engineering, AI engineering, and delivery operations meet. You'll work closely with delivery and operations teams and with customer technical stakeholders. You'll write technical specifications, design evaluation workflows, set quality standards, and build the applications that keep projects moving.
This role suits someone comfortable across the whole delivery lifecycle, likes solving messy multi-part problems hands-on, communicates clearly to technical and non-technical audiences, and works well on a team.
What You'll Do
Project Execution and Delivery
Build and deploy evaluators, and design quality measurement systems that validate outputs and confirm deliverables meet customer expectations
Generate synthetic datasets by developing new pipelines or adapting existing ones to speed up engagements and augment training data
Package and deliver production-grade datasets with standardized formatting, thorough documentation, and quality assurance
Build custom applications and tooling for non-standard or specialized customer requirements
Production and Technical Partnership
Define production specifications and workflows, and secure technical alignment with customer teams for smooth go-live transitions
Act as the technical point of contact for delivery leads, answering complex questions, resolving blockers, and supporting customer discussions
Keep specifications consistent across customer and internal teams throughout each engagement
Document best practices and spot automation opportunities, working with engineering to keep improving delivery
Technical Leadership and Innovation
Run model benchmarking on existing datasets and maintain solution leaderboards that show technical capability
Keep improving evaluation frameworks, technical assets and delivery processes to raise speed, quality and scale
What We're Looking For
5+ years in data science, data engineering, ML engineering, solutions engineering, forward-deployed engineering or similar technical roles
Strong hands-on experience with Python and SQL data tooling
Familiarity with ML and LLM-based solutions, including applying ML in production and building validation, evaluation or quality measurement workflows for ML/LLM systems
A track record of turning ambiguous requirements into technical specifications, workflows and delivered solutions
Experience integrating systems through APIs and building custom tooling for non-standard needs