At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work but it s work worth doing. If you re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

The Software Product Engineering (SPE) team is a specialized engineering group that delivers strategic solutions and differentiated capabilities. We take a forward-thinking approach, focusing on an enterprise platform and product mindset, ensuring that the solutions we build can be leveraged across Technology teams for broader impact and efficiency.

About the Role - Senior Principal Software Engineer

We are looking for a passionate and driven Software Engineer to join our Software Product Engineering team. In this role, you will design, build, and scale intelligent systems that leverage the latest advances in Generative AI and Large Language Models. You will work closely with product, data science, and infrastructure teams to deliver robust, production-grade solutions that power real-world use cases across the organization. You should be comfortable working across the stack, from crafting clean backend services to contributing to frontend experiences and be excited about the rapidly evolving landscape of agentic AI, model-context protocols, and cloud-native architecture.

Why You Should Be Interested in This Role





- Autonomous team. We move fast, iterate, and solve real problems for real customers.

- AI-first from day one. You are curious, learn quickly, empathize with our users, and build solutions to critical problems that shape how Lilly operates.

- Full SDLC ownership. Every engineer moves across ideation, build, QA, deployment, and monitoring. You build it, you own it.

- Direct partnership with Business, Product, Operations, and other stakeholders.

- You will learn a ton, build on AI, and deliver tangible impact. You will also shape the teams direction, its charter, and its technology choices.

- If youre looking for the best parts of an established company with an AI-first mindset and the agility to move quick, this is your opportunity.

What You ll Be Doing

1) Key Responsibilities

- Architect and lead the delivery of scalable, cloud-native software systems across backend and frontend layers.

- Own end-to-end design and implementation of GenAl and LLM-powered platform capabilities in production and familiarity with Multi Agent orchestration.

- Lead architectural reviews, establish engineering best practices, and set technical direction for the team while championing observability, reliability, and security practices.

- Drive cross-functional technical collaboration with product, data science, security, and infrastructure teams.





- Mentor junior engineers through pairing, code reviews, and structured knowledge transfer.

2) Required Qualifications

- Bachelor s degree in computer science or a related technical field.

- Hands-on experience with at least one programming language: Python, Go, or TypeScript

- Experience building or integrating Generative AI or LLM-based solutions and familiarity with agentic AI concepts and frameworks (MCP, A2A, or similar)

- Understanding of object-oriented design principles and common design patterns

- Experience with Docker and container-based development

- Working knowledge of cloud platforms such as AWS, Azure, or GCP

- Experience with both SQL and NoSQL databases

- Strong analytical and problem-solving skills, ownership and accountability

- Knowledge of microservices and distributed system design

- Exposure to Kubernetes or container orchestration platforms

- Effective verbal and written communication skills

- Ability to work collaboratively across backend, frontend, DevOps, and product teams

3) AI-Enhanced Development

- Leverage AI tools like GitHub Copilot, claude code to accelerate development workflows, improve code quality, and reduce boilerplate

- Demonstrate proficiency in prompt engineering to effectively guide AI tools in generating optimal and context-aware code solutions

- Use AI-assisted pair programming to support rapid prototyping, test case generation, and debugging.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Principal Software Engineer (Hyderabad)
🏢 Eli Lilly
📍 Hyderabad