Senior Software Engineer, Agentic AI

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 atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Job Description

Come to work each day with an inclusive and collaborative Business technology team! As a Senior Software Engineer, Agentic AI in AbbVie Business Technology Solutions (BTS), youll 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.

AbbVies 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
• Implement systems to scale an agentic ecosystem
• Understand the LLM landscape and help to evaluate the right tools for the right tasks
• Support multiple projects and advocate for optimal solutions
• Approach problems creatively, and mentor others to do so
• Work within constraints, including cost and security
• Multi-task and work within timelines
• Exemplify and further develop leadership skills on a technical team
  
  
  

Qualifications

Qualifications

• Bachelors degree with6 years of experience, Masters degree with 5years of experience, or PhD with 0 years of experience inin computer science or related field
• Advanced Python skills
• Understanding of data structures and principles of optimal algorithm design
• Experience working with foundational language models and LLM frameworks
• Deep understanding of structured outputs, output validation and other agentic concepts
  
  
  

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes ingood faith it will pay for this role at the time of this posting based on the job grade for this position. Individualcompensation paid within this range will depend on many factors including geographic location, and we may ultimatelypay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/visioninsurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.
  
  
  

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, and determinable.The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefitsthat are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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