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.
About Lilly
At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you’re driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly.
About Technology@Lilly
At Lilly, technology is not a support function. It is how a global medicine company operates, innovates, and delivers. Lilly in Hyderabad builds the capabilities that make this possible, cloud platforms, AI systems, and automation at enterprise scale, all in service of a purpose that makes this technology work genuinely distinctive, from advancing drug discovery to enabling connected clinical trials to keeping a global medicine company running at the standard patients deserve.
About the Business Function
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.
Job Title: Software Engineer
Role Summary
As an Software Engineer, you will design, build, and maintain AI-powered application features and agentic workflows using large language models (LLMs) and orchestration frameworks primarily building backend services and agent logic in Go or Python. You will collaborate with cross-functional teams to deliver high-quality solutions that put AI capabilities into the hands of users and support business objectives.
What You'll Be Doing
- Build and maintain AI-powered features and agentic workflows using LLMs, tool/function calling, and orchestration frameworks (e.g., LangChain, LangGraph).
- Build backend services, APIs, and agent orchestration logic primarily in Go or Python.
- Integrate LLM APIs and AI services into products, handling prompting, context management, evaluation, and guardrails.
- Where needed, build lightweight React interfaces to surface AI features and agent interactions to users.
- Collaborate with backend engineers to integrate APIs and deliver seamless features.
- Use AI-assisted development tools (GitHub Copilot, Cursor) to accelerate delivery and improve code quality.
- Participate in code reviews and contribute ideas to improve our engineering practices.
- Analyse and debug software and AI/agent behaviour to enhance performance, reliability, and maintainability.
- Work closely with product, design, and engineering teams to deliver high-quality solutions.
- Embrace opportunities to learn new AI techniques, technologies, and tools as part of your growth.
How You Will Succeed
- Apply modern AI engineering workflows prompt design, evaluation, and iteration to ship reliable AI features.
- Write clean, maintainable, well-tested backend code in Go or Python.
- Integrate LLMs via APIs and implement tool-calling and multi-step agent orchestration.
- Build and measure RAG pipelines, using retrieval and evaluation metrics to improve accuracy.
- Use AI coding assistants effectively as part of your daily development practice.
- Demonstrate strong communication and collaboration skills.
- Participate in code reviews and continuous improvement.
What You Should Bring
- 2–4 years of hands-on software engineering experience, including recent hands-on work building AI/LLM-powered or agentic applications.
- Proficiency in Go or Python as your primary language (preferred for this role).
- Practical experience with at least one agentic or LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI, AutoGen) or equivalent custom agent workflows (framework ecosystem is primarily Python; equivalent Go libraries or custom orchestration are acceptable).
- Experience building RAG pipelines embeddings and vector stores (e.g., pgvector, OpenSearch, Pinecone, FAISS).
- Hands-on experience calling LLM APIs (e.g., Amazon Bedrock, Anthropic, OpenAI) and prompt engineering.
- Experience building and consuming RESTful APIs and backend services.
- Familiarity with React and modern JavaScript/TypeScript is a plus for building AI-facing UIs.
- Exposure to version control (Git) and basic CI/CD concepts.
- Demonstrated, hands-on use of AI coding tools (GitHub Copilot, Cursor).
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience).
- Demonstrated curiosity, enthusiasm, and willingness to learn new technologies.
Basic Qualifications and Experience Requirement
- 2–4 years of hands-on experience building software applications, including demonstrable experience building AI/LLM-powered or agentic features.
- Hands-on programming experience in Go or Python.
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience).
Additional Skills/Preferences
- Experience writing concurrent, high-performance backend services in Go.
- Exposure to AWS, including AI/ML services (e.g., Amazon Bedrock, SageMaker), and containerisation (Docker/EKS) is a plus.
- Familiarity with LLM evaluation and observability tooling (e.g., LangSmith) and techniques for reducing hallucination.
- Awareness of responsible AI practices: data privacy, prompt/output safety, and model limitations.
- Experience with TypeScript, Material-UI, or other component libraries.
- Experience with unit testing frameworks (e.g., Jest, React Testing Library, Go testing, pytest).
- Interest in contributing to open-source projects or tech communities.
- Understanding of Agile methodologies and software development lifecycle (SDLC).
- Experience in regulated industries (e.g., Life Sciences) is a bonus.
At Lilly, caring is not only what we do for patients, it is how we work. We believe the people who dedicate themselves to making medicines better deserve an environment that makes their lives better too, one where they are supported, respected, and given the space to do their best work. This is not just a policy; it is who we are.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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