Advisor – Software Engineering, Evidence Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain ingestion pipelines that convert Lilly clinical evidence into structured formats suitable for large language model retrieval.

• Create, establish, and manage the API and storage layer that retains Lilly clinical evidence and delivers it through predefined structured requests.

• Set up and oversee server and tool-call integrations that link the infrastructure to partner AI platforms.

• Execute authentication, access controls per partner, and audit logging across delivery surfaces.

• Monitor the health of pipelines and platforms.

• Address data integrity, latency, or availability challenges that impact the evidence feed to AI platforms.

• Collaborate with scientists, researchers, and business stakeholders.

⛳️ Requirements

• Bachelor's degree in computer science, software engineering, or a related technical discipline.

• 5 years of professional experience in software engineering.

• 3 years of experience in building and operating cloud-based data infrastructure.

• Familiarity with creating tool-calling or connector integrations between backend infrastructure and LLM platforms, such as Model Context Protocol servers, function calling, or plugin frameworks.

• Proficient in programming languages such as Python and SQL.

• Practical experience in constructing and maintaining data pipelines, including ingestion, transformation, and structured output.

• Experience in designing and developing APIs (REST or equivalent) that deliver structured data at scale.

• Direct experience in implementing a Model Context Protocol server.

• Background in establishing retrieval-augmented generation (RAG) pipelines or engaging with LLM-adjacent technical frameworks.

• Knowledge of JavaScript or TypeScript and modern web frameworks.

• Experience in the life sciences or another regulated industry, with hands-on work involving healthcare or clinical data structures, regulatory submissions, or trial datasets.

🏝️ Benefits

• Company bonus based partially on both company and individual performance.

• Company-sponsored 401(k) plan.

• Pension plan.

• Vacation benefits.

• Medical, dental, vision, and prescription drug coverage.

• Flexible benefits, including healthcare and/or dependent daycare flexible spending accounts.

• Life insurance and death benefits.

• Time off and leave of absence benefits.

• Well-being benefits, including an employee assistance program, fitness benefits, and various employee clubs and activities.