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# Advisor - Software Engineering, Evidence Intelligence

- **Company:** The Lilly Company
- **Location:** Indianapolis, IN, United States
- **Experience:** Experienced
- **Salary:** $144,000.0 - $231,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Audit Trail, Clinical Data Repository, Data Integrity, Python (Programming Language), Standard Sql, Software Engineering, TypeScript, Web Application Frameworks, Data Ingestion, Large Language Models, Generative AI, Backend, AI Platforms, Information Technology, Api Design, Data Pipelines
- **Published:** September 17, 2026
- **Apply:** https://dejobs.org/x/x/5862442901764EB7AACC73D8C37B8CDC/job/

## About the Role

* Bachelor's degree in computer science, software engineering, or a related technical field.
 * 5 years of professional software engineering experience
 * 3 years building and operating cloud-based data infrastructure.

Additional Skills/Preferences:

 * Masters degree in computer science, software engineering or a related technical field
 * Experience building tool-calling or connector integrations between backend infrastructure and LLM platforms, such as Model Context Protocol servers, function calling, or plugin frameworks.
 * Proficiency in programming languages such Python and SQL
 * Hands-on experience building and maintaining data pipelines, including ingestion, transformation, and structured output.
 * Experience designing and building APIs (REST or equivalent) that serve structured data at scale.
 * Hands-on experience implementing a Model Context Protocol server.
 * Experience implementing retrieval-augmented generation (RAG) pipelines or working within LLM-adjacent technical frameworks.
 * Experience with JavaScript or TypeScript and modern web frameworks.
 * Experience working in life sciences or another regulated industry, including hands-on work with healthcare or clinical data structures, regulatory submissions, or trial datasets.

## Description

Lilly is seeking an Advisor, Software Engineering in Evidence Intelligence to build and maintain the technical infrastructure that delivers Lilly's clinical evidence to Frontier AI platforms - converting evidence into platform-ready formats and enforcing the technical standards that keep the evidence corpus current and trustworthy.

How You Will Succeed

 * Build and maintain ingestion pipelines that parse Lilly clinical evidence into structured formats for large language model retrieval.
 * Design, build and maintain the API and storage layer that stores Lilly clinical evidence and serves it through pre-defined structured requests
 * Configure and maintain the server and tool-call integrations that connect this infrastructure to partner AI platforms.
 * Implement authentication, per-partner access controls, and audit logging across the delivery surfaces.
 * Monitor pipeline and platform health, and resolve data integrity, latency or availability issues affecting the evidence feed to AI platforms.
 * Collaborate with cross-functional teams, including scientists, researchers, and business stakeholders


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