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.
About the Role
Our team builds digital and AI-powered products that improve how employees work and interact with technology at Lilly. We are looking for a Software Engineer - Full Stack Agentic to design, build and operate modern, scalable applications and services across our growing product portfolio.
The initial focus of this role will be ChatNow, Lilly’s conversational AI experience, with the opportunity to help build additional digital and AI-powered products over time.
This is a hands-on engineering role for someone comfortable working across the technology stack, with particularly strong backend engineering skills. The engineer will work closely with Product Management, Product Design, Product Analytics, QA/QE and other engineers to turn product ideas into secure, reliable and intuitive experiences.
Responsibilities and Key Objectives
Design, build and operate full-stack applications, developing scalable backend services and APIs alongside modern, responsive user experiences.
Build backend services and integrations using Python and modern application frameworks, with a focus on maintainability, performance, reliability and scalability.
Develop high-quality user experiences using React, translating product and design requirements into reusable, maintainable frontend components.
Build AI-powered product capabilities, integrating Generative AI, large language models, retrieval-augmented generation (RAG), agents and related technologies into production applications.
Design and integrate APIs and services that connect applications with enterprise platforms, data sources, AI services and other internal or external systems.
Own software through its lifecycle, from technical design and implementation through automated testing, deployment, observability, troubleshooting and continuous improvement.
Build observable and reliable systems, using application telemetry, logging, metrics and monitoring to understand system behaviour, identify issues and improve performance.
Partner closely across the product team, working with Product Managers, Product Designers, Product Analytics, QA/QE and other engineers to translate product requirements and designs into high-quality, intuitive experiences.
Deliver with a strong eye for detail, ensuring implementations meet product and design intent while maintaining high standards for usability, quality, performance and reliability.
Contribute to engineering standards and practices, including code quality, automated testing, code reviews, security, architecture and technical documentation.
Use AI-assisted software engineering tools and techniques to improve development productivity while maintaining appropriate engineering quality and controls.
Take ownership of complex technical problems, working through ambiguity and helping evolve the architecture as products and requirements grow.
Basic Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Engineering or a related field.
Minimum of 5 years of experience in software engineering, developing and supporting production applications.
Strong backend development experience using Python, including designing and developing APIs, services and integrations.
Strong frontend development experience using React and modern JavaScript/TypeScript.
Experience developing and deploying applications on cloud platforms such as Microsoft Azure or AWS.
Strong understanding of modern software engineering practices, including automated testing, source control, CI/CD, observability and secure development.
Strong attention to detail and demonstrated ability to work effectively with Product Management, Design, Product Analytics, QA/QE and Engineering throughout the product development lifecycle.
Additional Skills / Preferences
Experience building applications using Generative AI, LLMs, RAG, agentic AI or related AI technologies.
Experience designing and building scalable APIs, distributed services, asynchronous systems or event-driven architectures.
Experience with containers and cloud-native technologies, such as Docker and Kubernetes.
Experience with observability and monitoring technologies such as Grafana, Splunk or OpenTelemetry.
Strong problem-solving skills, engineering judgement and the ability to take ownership and deliver in an ambiguous, fast-moving product environment.
Additional Information
Travel may be required depending on business need.
This role may work with teams and stakeholders across multiple locations and time zo
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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