Software Engineer ChatNow Program

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

The Software Engineer for the Chat Now program will play a critical role in advancing the capabilities and user experience of our enterprise chatbot platform. This role is responsible for designing, developing, and maintaining scalable full stack solutions that power Chat Now, with a strong emphasis on both front-end user interfaces and back-end services. This role will focus on hands-on development, integration, and enablement of reusable agentic components that power support chatbots across multiple domain areas.

What You'll Be Doing :

• Serve as the principal engineer across Chat Now work streams, setting direction for key builds and guiding engineers to deliver high‑quality, scalable solutions.

• Provide strategic leadership for the evolution of the Chat Now platform, guiding the design and delivery of complex features and cross‑platform enhancements to ensure enterprise‑grade performance, resilience, scalability, and security.

• Shape the long‑term architectural vision and full‑stack technical strategy for the Chat Now ecosystem, influencing platform roadmaps, design patterns, and technology standards across teams and partner systems.

• Drive engineering excellence across agile delivery cycles , establishing best‑practice frameworks for code quality, sprint execution, technical reviews, and process optimization while mentoring teams toward continuous improvement.

• Architect and enhance CI/CD automation pipelines for Chat Now, advancing release governance, environment controls, and Git Hub Actions–based workflows to improve deployment speed, reliability, and compliance across DEV, QA, and PROD.

• Champion adherence to enterprise security, compliance, and responsible AI frameworks , ensuring Chat Now’s development and deployment practices align with regulatory, privacy, and AI Registry standards.

• Partner with AI architects, engineering leads, and cross‑functional stakeholders to strengthen platform resiliency, expand automation and agentic capabilities, and ensure the delivery of high‑quality, scalable solutions across domains.

What You Should Bring :

• Advanced Degree in Computer Science or related field

• Proven experience in full stack development using modern frameworks (e.g., Python,

• JavaScript/Type Script (Node.js, React)

• Solid understanding of software engineering best practices including agile methodologies, CI/CD, and automated testing

• Ability to collaborate cross-functionally with product managers, designers, and other engineers

• Passion for creating intuitive user experiences and solving complex technical challenges

• Excellent problem-solving skills and a proactive mindset toward innovation and continuous improvement

• AI or Machine Learning Certification

• Experience with Agentic & AI Tooling (e.g.Lang Chain, Lang Graph, Open AI SDKs,Cortex, MLflow, Lang Fuse, Vector DBs, etc.)

• Familiarity with multi-agent architectures and Lang Graph workflows

• Understanding of LLM fine-tuning, prompt optimization, or embedding-based retrieval

• Prior experience working with cross-functional global development teams

Basic Requirements :

• B.S. in Computer Science or related field

• 5+ years experience in Agile methodologies and approaches

• 5+ years experience in full stack development

• Experience in machine learning and natural language processing (NLP) technologies

• Experience in cloud computing platforms such as Microsoft Azure

• Experience with Agentic & AI Tooling (e.g. Lang Chain, Lang Graph, Open AI SDKs, Cortex, MLflow, Lang Fuse, Vector DBs, etc.)

• Experience contributing to RAG (Retrieval-Augmented Generation) pipelines

Additional Information :

• Position located in Indianapolis, Indiana working in a hybrid…