AI Engineer

Quick Facts

• Fully remote

• B2B contract (full-time)

• Start: ASAP (within 1 month)

• Contract length: 10–12+ months with extensions

• Language: English

Description

Work on designing, building, validating, and operationalizing agentic AI solutions and automated document-generation workflows in Databricks. Create end-to-end Databricks workflows, evaluation harnesses, and monitoring/tracing using Langfuse, and integrate AI workflows with user interfaces, APIs, and downstream systems. Apply solid software-engineering practices and collaborate with stakeholders to deliver maintainable solutions.

Responsibilities

• Use Databricks and its AI capabilities to deliver scalable AI solutions

• Build, deploy, monitor, and maintain end-to-end workflows in Databricks

• Define, design, build, and validate agentic AI solutions within Databricks

• Develop and maintain evaluation harnesses for agentic solutions

• Use Langfuse to trace agent, prompt, tool, and response flows and manage evaluation results

• Integrate Langfuse telemetry with evaluation and monitoring

• Design and implement automated document-generation workflows

• Integrate UIs, APIs, and downstream systems with AI workflows

• Apply sound software-engineering practices

• Collaborate with stakeholders to translate requirements into maintainable solutions

Requirements

• Master’s or PhD in computer science or related discipline

• 2–5 years of relevant work experience

• Experience with Databricks and its AI capabilities

Benefits

• Fully remote work

• Long-term B2B contract (10–12+ months with extensions)