AI Full Stack Engineer - Indianapolis, United States - Eli Lilly

Description

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.

Come shape the future of our industry by bringing Artificial Intelligence capabilities to life

Digital Core is actively looking for an Artificial Intelligence Full Stack Engineer to integrate complex AI-driven functionalities with robust web architectures, delivering seamless user experiences across our digital platforms. This role is ideal for those who have a passion for coding and designing both front-end and back-end systems, combined with a strong interest in leveraging AI to solve practical, real-world problems. You will work on technology teams building solutions that improve performance and reliability of processes and systems in pharma. Are you passionate about artificial intelligence and the impact it can have across an entire industry? Are you a change agent who can influence organizations? If so, bring YOUR skills and talents to Lilly where you'll have the chance to create an impact on the lives of patients

What You'll Be Doing:

Full Stack Development: Design, code, test, and manage applications that integrate AI functionalities, ensuring they operate seamlessly across all platforms. Utilize a range of technologies including JavaScript frameworks, server-side languages, and databases.

AI Integration: Implement and fine-tune AI algorithms within applications, enhancing data processing and user interactions. Collaborate closely with AI specialists to embed sophisticated AI features like machine learning and natural language processing into our products.

System Architecture and API Design: Develop and maintain robust system architectures and APIs to support web and mobile applications. Ensure high performance, scalability, and security of all systems.

Cross-Disciplinary Collaboration: Work with designers, developers, and product managers to create a cohesive and integrated user experience. Bridge the gap between graphical design and technical implementation, taking an active role in both defining how the application looks and how it works.

Continuous Testing and Deployment: Employ best practices in continuous integration and deployment (CI/CD), using automated testing to ensure the application's reliability and performance at all stages of development.

Ethics and Compliance in Development: Adhere to ethical guidelines in AI usage and data handling, ensuring compliance with all relevant regulations and maintaining the highest standards of data privacy and security.

How You Will Succeed:

Innovative Problem-Solving: Utilize your creative and technical skills to develop solutions that integrate AI and full-stack development, addressing complex challenges and improving application functionality.

Technical Expertise: Combine your knowledge of web development technologies and AI to create high-quality, innovative software solutions.

Effective Communication: Communicate complex technical details and project updates effectively across different teams, facilitating clear understanding and cooperative project management.

Adaptability and Learning: Remain adaptable and proactive in learning new technologies and techniques in AI and full-stack development to keep up with industry trends and advancements.

Leadership and Collaboration: Lead projects and collaborate with teams to deliver comprehensive solutions that align with business goals and user needs.

What You Should Bring:

Expertise in Full Stack Development: Proven experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular; back-end experience with languages like Python, Ruby, Java, or ; and familiarity with database technologies, both SQL and NoSQL.

Practical AI Application Experience: Experience integrating machine learning models and AI technologies into practical applications.

Strong Foundation in System Design: Solid understanding of API design, microservices architecture, and scalable system engineering.

Commitment to Best Practices: A strong adherence to best practices in coding, testing, and deployment processes, including experience with CI/CD pipelines and automated testing frameworks.

Ethical and Secure Programming: A commitment to ethical AI practices and robust security protocols to safeguard application data and user privacy.

Your Basic Qualifications:

• Bachelor's degree in computer science, engineering, mathematics, or a related field.
• 3+ years of technology leadership experience with expertise in industry standard tools, processes, and technologies for full stack development.
• 1+ years experience in similar full stack development roles with technology, including experience with enterprise technology programs

Additional Preferences:

• Expertise in implementing AI technologies such as machine learning, deep learning (using TensorFlow, PyTorch), and natural language processing.
• Strong expertise in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular.
• Proficient in back-end programming languages such as Python, , or Java.
• Experience with RESTful API design and development.
• Familiarity with database management, including SQL and NoSQL databases.
• Advanced proficiency in multiple programming languages and frameworks.
• Strong experience with cloud services such as AWS, Azure, or Google Cloud Platform, particularly those related to deploying and managing AI environments.
• Experience in developing and maintaining CI/CD pipelines for application deployment.
• Proficiency in data manipulation tools like Pandas, NumPy, and expertise in using data visualization tools and libraries.
• Strong problem-solving skills, ability to work collaboratively in a dynamic team environment, and capability to lead projects or mentor junior developers.
• Certifications in relevant technologies (AWS Certified, Azure Certifications, etc.)
• Experience in a regulated industry, such as financial services or healthcare, where understanding of compliance regarding data security and privacy is critical.
• Willingness to participate in continuous learning opportunities to stay ahead in both AI and full-stack development advancements.

Additional Information:

• Position located in Indianapolis, Indiana working in a hybrid model. Remote work within the US may be considered.
• Travel may be required periodically.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and 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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women's Network, Working and Living with Disabilities. Learn more about all of our groups.

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