Software Engineer I and II - Gen AI
Description
About FedEx Dataworks:
Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.
We are creating opportunities for FedEx, our customers, and the world at large by:
- Exploring and harnessing data to define and solve true problems
- Removing barriers between data sets to create new avenues of insight
- Building and iterating on solutions that generate value
- Acting as a change agent to advance curiosity and performance
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Software Engineer I Summary:
Under close supervision, designs, develops, troubleshoots and debugs less complex software programs for enhancements and new products. Responsible for routine concept design through the full development life cycle. Prepares and conducts systems programming test requiring interfacing and software tests.
Software Engineer II Summary:
Under limited supervision, designs, develops, troubleshoots and debugs moderately complex software programs for enhancements and new products. Responsible for moderately complex concept design through the full development life cycle. Prepares and conducts systems programming test requiring interfacing and software tests.
Responsibilities:
· Work across backend, frontend, and interact with LLMs and/or other ML models
· Deliver high-quality experiments and solutions
· Collaborate with diverse teams across the entire lifecycle from intake to experimentation to graduation
· Conceptualize, develop, and deploy features and enhancements using artificial intelligence technologies and frameworks
· Design, architect, and implement scalable backend systems and APIs
· Optimize AI algorithms and models for efficiency, accuracy, and scalability
· Integrate machine learning models, algorithms, and data pipelines into the backend infrastructure
· Continually improve LLM performance and accuracy
· Stay abreast of industry trends and evaluate their potential impact on our product roadmap
· Foster a culture of innovation and continuous learning within the team
· Mentor and provide technical guidance
Skills:
· Excitement to work within AI and Data Science environments
· Background in algorithms, data structures, and object-oriented programming
· Solid understanding of LLMs, prompt engineering, RAG, and fine tuning
· Knowledge or working experience with models such as LLaMA, LlamaIndex, Lang Chain, and more
· Strong understanding of AI tooling ecosystem including Kubernetes, MLOps, and AIOps tools
· Experience with SQL, NoSQL Graph, and Vector databases
· Experience with machine learning concepts and techniques
· Proficiency with Python and ML-adjacent libraries
· Proficiencies in one or more of Python, Node, React, Next.js, and MongoDB
· Experience scaling products at hyper-growth
· Exceptional problem-solving, verbal, written, and presentation skills
· Ability to work independently and collaboratively
SE I Minimum qualifications:
Bachelor’s Degree / equivalent in computer science, engineering, information systems, a related field or equivalent formal training or work experience with One (1) year experience. Knowledge of basic principles, theories, concepts and techniques in information technology or engineering involvement. A related advanced degree may offset the related experience requirements.
SE II Minimum qualifications:
Minimum Education
Bachelor’s Degree in computer science, engineering, or information systems or related field and/or equivalent formal training or work experience
Minimum Experience
Two (2) years qualifying work experience in information technology or engineering environment. A related advanced degree may offset the related experience requirements.
Domicile Information:
This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need.
Preferred Qualifications:
Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
Pay: U.S. Annual Salary Ranges: SE I $65,920 to $98,880 - SE II $82,320 to $123,480
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5pm ET 1/30/25..
FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.
