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
Company H1B Sponsorship