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.

Skills

• 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.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.