Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.
Designing, implement, and refine customer integrations: connect Archie to engineering data sources and tools, iterate until it delivers measurable value.
Fine-tune and evaluate AI systems in production environments: identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.
Collaborate with engineering teams: work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.
Diagnose and resolve critical issues in live deployments: drive root-cause analysis and implement durable improvements across the organization.

Requirements

Shipped data-driven or AI systems to production
Python experience strongly preferred
Rapidly build integrations between disparate customer systems
Comfortable working directly with customers and technical leaders
Integrated or extended AI systems
Bonus points for engineering or scientific domains

Benefits

Healthcare, dental, and vision insurance
401k with employer matching
Unlimited PTO

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI systemsdata integrationroot-cause analysismodel fine-tuningengineering data sourcescustomer data preparationproduction environmentscustomer successmeasurable value

Soft Skills

customer collaborationcommunicationproblem-solvingtechnical leadershipinterpersonal skills