AI/ML Engineer

Join a high-impact team helping to accelerate clinical trial activation through production-grade AI and automation. This remote contract opportunity is ideal for an experienced AI/ML Engineer who enjoys building agentic workflows, advanced retrieval systems, and reliable LLM-powered solutions in a healthcare setting. Responsibilities

• Design, build, and orchestrate autonomous AI agents to support clinical trial protocol analysis and activation workflows.
• Develop retrieval-augmented generation solutions using hybrid search, vector embeddings, reranking, and question-answering approaches over complex documents.
• Evaluate, benchmark, and refine model and agent performance to improve accuracy, reliability, and overall system quality.
• Implement monitoring and observability tools to track workflow behavior, support debugging, and improve production stability.
• Collaborate with engineering and domain teams to translate sponsor protocols into structured, automated processes.
• Contribute to solutions that help reduce time to activation and improve efficiency across the clinical trial lifecycle.

• Strong Python development skills and hands-on experience delivering AI solutions in Google Cloud Platform (GCP).
• Proven experience building AI agents and agentic workflows, with familiarity with LangGraph, Claude Code, and the Model Context Protocol (MCP).
• Practical knowledge of retrieval-augmented generation, vector databases, embedding models, hybrid search, and reranking techniques.
• Experience with LLM evaluation methods and monitoring/observability platforms such as Langfuse.
• Background working with healthcare data and complex regulatory or clinical documentation.
• Ability to work collaboratively, communicate clearly, and bring a thoughtful, problem-solving mindset to technical challenges.

Preferred Skills

• Experience deploying production-grade AI systems in healthcare or similarly regulated environments.
• Exposure to workflow automation or orchestration for document-heavy business processes.
• Familiarity with building reliable, maintainable systems that support end users and operational teams.
• Interest in improving clinical operations through practical AI applications.

Horizontal is committed to fostering a workplace where diversity, equity, and inclusion are valued and respected. We welcome candidates from all backgrounds and encourage applicants who can contribute unique perspectives, experiences, and ideas.