AI Engineer
Summary
AI Engineer designs, builds, validates, and operationalizes agentic AI solutions and automated document-generation workflows in Databricks, using Langfuse for tracing and evaluation. Fully remote, full-time B2B contract (10-12 months + extensions) working with the end client.
Work mode - fully remote.
Assignment type: B2B contract.
Start - ASAP/1 month.
Contract length > 10-12 months + extensions.
Language - English.
Recruitment process - 2 interviews with the client.
Workload: Full time.
Summary: We are seeking an AI Engineer to design, build, validate, and operationalize agentic AI solutions and automated document-generation workflows within Databricks, enhancing the organization’s AI capabilities.
Main Responsibilities:
Use Databricks and its AI capabilities effectively to deliver scalable AI solutions.
Create, deploy, monitor, and maintain reliable 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; manage evaluation results.
Integrate Langfuse telemetry with the evaluation and monitoring approach.
Design and implement automated document-generation workflows.
Integrate user interfaces, APIs, and downstream systems with AI workflows.
Apply sound software-engineering practices.
Collaborate with stakeholders to translate requirements into maintainable solutions.
Key Requirements:
Masters or PhD in computer science or related discipline.
2-5 years of relevant work experience.
Experience with Databricks and its AI capabilities.
Nice to Have:
Familiarity with Langfuse for evaluation and monitoring.
Experience in developing automated document-generation workflows.
Knowledge of software engineering best practices.
Other Details: This role requires advanced education in computer science and relevant AI or data engineering experience, preferably within a flexible and dynamic work environment.
