Pitney Bowes
At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components:
Client. Team. Win. Innovate.
We actively look for prospects who:
• Are passionate about client success.
• Enjoy collaborating with others.
• Strive to exceed expectations.
• Move boldly in the quest for superior and best in market solutions.
Job Description:
As a
Data Science and AI Developer
with Pitney Bowes, you will be key in advancing our Shipping 360 APIs. Your contributions as a SendTech Innovative Solutions team member will advance Pitney Bowes AI-powered shipping solutions integrated with platforms like Microsoft Teams, Edge Plugins, Azure services, and others. Alongside our development team, you will work on cutting-edge technologies to create intelligent shipping workflows, including LLM/NLP-based intent detection, rate shopping, label printing, and carrier management systems.
The wage range for this position is $115000 to $135000 / annually, with the actual pay dependent on your skills and experience as they relate to the job requirements and the location where you will be performing the job.
T
h
is position will be located in our Shelton, CT office. You will be working a hybrid schedule with up to 4 days in the office.
You are:
A
Data Science and AI Developer
who is an agile practitioner, you are passionate about learning, improving, and iterating on industry-disrupting solutions.
You will:
Build and optimize
Natural Language Processing (NLP)
and LLM models using frameworks like
spaCy
or other NLP/LLM libraries to process user intents and extract key shipping data (e.g., address, dimensions, weight)
Integrate AI models into the Shipping application for real-time processing of user queries
Develop and maintain
FastAPI-based or similar microservices
to handle shipping workflows like rate shopping, label printing, and carrier selection
Implement scalable APIs to interface with PB’s
Shipping 360 APIs
for carrier and shipment management
Work with
Azure pr similar Vector DB
to store and retrieve shipping rate data efficiently using vector search techniques
Optimize database queries for performance and accuracy in rate shopping operations
Implement and integrate
Azure OpenAI services
for intelligent response generation, including rate comparisons, shipping details, and troubleshooting
Deploy and maintain cloud-based infrastructure using
Azure Kubernetes Service (K8S)
or Serverless platforms
Write unit tests and conduct performance testing to ensure system reliability and scalability
Continuously monitor and fine-tune AI models and microservices for optimal performance
Collaborate with frontend developers, product managers, and other stakeholders to ensure seamless integration of features into user-facing platforms like Microsoft Teams and Edge plugins
Provide technical insights and support during the design and development phases
You have:
High level of proficiency in Python and Golang, with hands-on experience in FastAPI or other web frameworks
Experience with LLM and NLP libraries (preferred: spaCy, Transformers, or NLTK)
Knowledge of vector search algorithms, including a strong working knowledge of Azure Vector DB or FAISS
Experience with RESTful API design and integration
Familiarity with Azure services, including OpenAI, Event Grid, and Azure Kubernetes Service (K8S)
A strong understanding of microservices architecture and cloud-based deployments
Database experience (e.g., MongoDB, NoSQL, or vector-based databases)
Strong problem-solving and analytical skills
The ability to work in an agile environment and meet tight deadlines
Excellent communication and teamwork skills
Preferred Skills:
Knowledge of shipping APIs and logistics workflows
Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
Familiarity with integration platforms like Microsoft Teams and Edge plugins
Educational Qualifications:
Equivalent work experience in AI, backend development, or shipping-related projects is also acceptable
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Our Team:
SendTech Solutions offers physical and digital mailing and shipping technology solutions, financing, services, supplies and other applications for small and medium businesses, retail, enterprise, and government clients around the world to help simplify and save on the sending, tracking and receiving of letters, parcels and flats.
Check out our mail stations: SendPro Series C&P, DI2000 and our newest product/service-Smart Lockers. Machines for automating the insertion of mail into envelopes, opening mail, creating/printing documents, and shredding office documents.
SendPro MailCenter- Mailing & Shipping Postage Meter
PitneyShip Cube
Smart Lockers
Pitney Bowes
maintains
a drug-free workplace.
We will:
• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well (https://careers.pitneybowes.com/global/en/pb-live-well) )
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.
Women / Minorities / Veterans /
LGBTQ+ /
Individuals
with Disabilities
are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.
Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.
Women/Men/Veterans/Individuals with Disabilities/LGBTQ are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components:
Client. Team. Win. Innovate.
We actively look for prospects who:
• Are passionate about client success.
• Enjoy collaborating with others.
• Strive to exceed expectations.
• Move boldly in the quest for superior and best in market solutions.
Job Description:
As a
Data Science and AI Developer
with Pitney Bowes, you will be key in advancing our Shipping 360 APIs. Your contributions as a SendTech Innovative Solutions team member will advance Pitney Bowes AI-powered shipping solutions integrated with platforms like Microsoft Teams, Edge Plugins, Azure services, and others. Alongside our development team, you will work on cutting-edge technologies to create intelligent shipping workflows, including LLM/NLP-based intent detection, rate shopping, label printing, and carrier management systems.
The wage range for this position is $115000 to $135000 / annually, with the actual pay dependent on your skills and experience as they relate to the job requirements and the location where you will be performing the job.
T
h
is position will be located in our Shelton, CT office. You will be working a hybrid schedule with up to 4 days in the office.
You are:
A
Data Science and AI Developer
who is an agile practitioner, you are passionate about learning, improving, and iterating on industry-disrupting solutions.
You will:
Build and optimize
Natural Language Processing (NLP)
and LLM models using frameworks like
spaCy
or other NLP/LLM libraries to process user intents and extract key shipping data (e.g., address, dimensions, weight)
Integrate AI models into the Shipping application for real-time processing of user queries
Develop and maintain
FastAPI-based or similar microservices
to handle shipping workflows like rate shopping, label printing, and carrier selection
Implement scalable APIs to interface with PB’s
Shipping 360 APIs
for carrier and shipment management
Work with
Azure pr similar Vector DB
to store and retrieve shipping rate data efficiently using vector search techniques
Optimize database queries for performance and accuracy in rate shopping operations
Implement and integrate
Azure OpenAI services
for intelligent response generation, including rate comparisons, shipping details, and troubleshooting
Deploy and maintain cloud-based infrastructure using
Azure Kubernetes Service (K8S)
or Serverless platforms
Write unit tests and conduct performance testing to ensure system reliability and scalability
Continuously monitor and fine-tune AI models and microservices for optimal performance
Collaborate with frontend developers, product managers, and other stakeholders to ensure seamless integration of features into user-facing platforms like Microsoft Teams and Edge plugins
Provide technical insights and support during the design and development phases
You have:
High level of proficiency in Python and Golang, with hands-on experience in FastAPI or other web frameworks
Experience with LLM and NLP libraries (preferred: spaCy, Transformers, or NLTK)
Knowledge of vector search algorithms, including a strong working knowledge of Azure Vector DB or FAISS
Experience with RESTful API design and integration
Familiarity with Azure services, including OpenAI, Event Grid, and Azure Kubernetes Service (K8S)
A strong understanding of microservices architecture and cloud-based deployments
Database experience (e.g., MongoDB, NoSQL, or vector-based databases)
Strong problem-solving and analytical skills
The ability to work in an agile environment and meet tight deadlines
Excellent communication and teamwork skills
Preferred Skills:
Knowledge of shipping APIs and logistics workflows
Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
Familiarity with integration platforms like Microsoft Teams and Edge plugins
Educational Qualifications:
Equivalent work experience in AI, backend development, or shipping-related projects is also acceptable
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
Our Team:
SendTech Solutions offers physical and digital mailing and shipping technology solutions, financing, services, supplies and other applications for small and medium businesses, retail, enterprise, and government clients around the world to help simplify and save on the sending, tracking and receiving of letters, parcels and flats.
Check out our mail stations: SendPro Series C&P, DI2000 and our newest product/service-Smart Lockers. Machines for automating the insertion of mail into envelopes, opening mail, creating/printing documents, and shredding office documents.
SendPro MailCenter- Mailing & Shipping Postage Meter
PitneyShip Cube
Smart Lockers
Pitney Bowes
maintains
a drug-free workplace.
We will:
• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well (https://careers.pitneybowes.com/global/en/pb-live-well) )
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.
Women / Minorities / Veterans /
LGBTQ+ /
Individuals
with Disabilities
are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.
Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.
Women/Men/Veterans/Individuals with Disabilities/LGBTQ are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.