[Remote] ML/AI Engineer - Databricks Agentic AI

Note: The job is a remote job and is open to candidates in USA. Harnham is recruiting for a large media and entertainment organization building a multi-agent analytics platform. The ML/AI Engineer will design and operate LLM-powered agents that query data, run analysis, generate visualizations, and deliver trustworthy, explainable insights at scale.

Responsibilities

• Design and implement multi-agent workflows within a Databricks-based analytics platform, including planning, routing, tool calling, memory, and handoff between specialized agents
• Build and maintain agent tools including data source connectors, retrieval pipelines, SQL generation and validation, visualizations, and result verification
• Develop evaluation frameworks, testing suites, and regression tracking to improve quality and reliability
• Improve answer accuracy and groundedness through guardrails, validation mechanisms, and explainability
• Optimize for latency, cost, throughput, and production resilience
• Partner with engineering, analytics, and product teams to deliver trusted AI-powered analytics experiences

Skills

• Deep understanding of the Databricks platform, including hands-on experience with Databricks Apps, Databricks SDK, Databricks Asset Bundles, and Databricks APIs
• Experience with Mosaic AI, Model Serving, Vector Search, MLflow, Unity Catalog, or similar Databricks-native capabilities
• Strong experience building production AI, LLM, or agentic applications
• Strong Python engineering skills and experience with frameworks such as LangGraph, OpenAI Agents SDK, or similar
• Hands-on experience with tool calling, RAG, prompt engineering, and multi-agent architectures
• Experience with agent evaluation frameworks, observability tooling, and production AI operations
• Experience building and operating production services, APIs, CI/CD pipelines, and cloud-native applications

Benefits

• Remote, US

Company Overview

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