Software Engineer, Agentic AI (Remote)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Come to work each day with an inclusive and collaborative Business technology team! As a Software Engineer, Agentic AI in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

Purpose

AbbVie’s EPIC team is a company-internal software incubator, dedicated to building and scaling cutting-edge technology products for internal use, to enhance productivity and help AbbVie find cures faster.  Our generative AI and large language model (LLM) workstream is looking for a developer specializing in building agentic AI frameworks.

Responsibilities

• Deliver clean, scalable, well-optimized Python code
• Work with a team of experts to determine optimal system design
• Develop sensible unit tests and anticipate edge cases
• Implement agentic workflows, from scratch where necessary
• Understand the LLM landscape and help to evaluate the right tools for the right tasks
• Support multiple projects and advocate for optimal solutions
• Learn new skills and approach problems creatively
• Work within constraints, including cost and security
• Multi-task and work within timelines

Qualifications

• Bachelor’s degree in computer science or related field and 4 years of experience, alternatively, Master’s degree or equivalent and 2 years of experience
• Advanced Python skills
• Understanding of data structures and principles of optimal algorithm design
• Experience working with foundational language models and LLM frameworks
• Deep understanding o