We’re hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together…that’s The Pitney Bowes way. Here, how we work matters just as much as what we achieve.
We’re looking for people who:
Act with urgency, accountability, and purpose
Deliver high quality work with consistency and pride
Collaborate effectively and elevate those around them
Focus on outcomes that drive impact and growth
Job Description:
Job Title: Intern
Location: India (Hybrid/Remote)
Duration: 12 Months
Employment Type: Internship
Position Summary
We are seeking a highly motivated Intern to join our Business Applications team. The intern will assist in developing, testing, and deploying AI-powered solutions using Large Language Models (LLMs) to solve business challenges and improve operational efficiency.
This internship offers hands-on experience with cutting-edge AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI platforms.
Key Responsibilities
- Assist in building and testing Generative AI and LLM-based applications.
- Create and optimize prompts for business and enterprise use cases.
- Support development of AI chatbots, copilots, and knowledge assistants.
- Conduct model evaluation, testing, and performance analysis.
- Work with structured and unstructured data sources to improve AI responses.
- Develop proof-of-concepts using Python, OpenAI, Azure OpenAI, LangChain, Semantic Kernel, or similar AI frameworks.
- Research emerging AI technologies and industry trends.
- Document technical designs, findings, and recommendations.
- Collaborate with business and technical teams to identify AI automation opportunities.
Required Qualifications
- Currently pursuing or recently completed:
- B.Tech / B.E. in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related field
- M.Tech, MCA, MSc (Computer Science, AI, Data Analytics), or equivalent
- Basic understanding of Large Language Models (GPT, Llama, Claude, Gemini, etc.).
- Knowledge of Generative AI concepts and prompt engineering.
- Proficiency in Python programming.
- Understanding of machine learning, NLP, and data analytics fundamentals.
- Familiarity with REST APIs and data integration concepts.
- Experience using Git or version control tools.
Preferred Experience
- Academic projects, hackathons, research work, or internships involving:
- Generative AI
- Large Language Models
- Natural Language Processing
- Machine Learning
- Exposure to:
- Azure OpenAI Service
- OpenAI APIs
- LangChain
- Semantic Kernel
- Hugging Face
- Vector Databases (FAISS, Pinecone, ChromaDB)
- RAG architectures
- Experience developing AI-powered applications is a plus.
Desired Competencies
- Strong analytical and problem-solving skills.
- Curiosity and passion for AI innovation.
- Ability to learn new technologies quickly.
- Good verbal and written communication skills.
- Ability to work independently and collaboratively within a team.
The Team
Pitney Bowes (NYSE: PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.
We will:
• Provide the will: 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 Benefits and Wellbeing Programs)
Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.
All interested individuals must apply online.
Skills Required
- Currently pursuing or recently completed a B.Tech or B.E. in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field
- M.Tech, MCA, MSc in Computer Science, AI, Data Analytics, or equivalent
- Basic understanding of Large Language Models, including GPT, Llama, Claude, or Gemini
- Knowledge of Generative AI concepts and prompt engineering
- Proficiency in Python programming
- Understanding of machine learning, NLP, and data analytics fundamentals
- Familiarity with REST APIs and data integration concepts
- Experience using Git or version control tools
- Academic projects, hackathons, research work, or internships involving Generative AI, LLMs, NLP, or machine learning
- Exposure to Azure OpenAI Service, OpenAI APIs, LangChain, Semantic Kernel, Hugging Face, vector databases, or RAG architectures
- Experience developing AI-powered applications
Pitney Bowes Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pitney Bowes Inc. and has not been reviewed or approved by Pitney Bowes Inc..
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Healthcare Strength — Health coverage includes medical, dental, and vision options plus mental health support, FSAs/HSAs, an Employee Assistance Program, and wellness offerings. Feedback suggests these features are a notable bright spot within total rewards.
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Retirement Support — Retirement offerings include a 401(k) with company match and a pension plan, alongside financial protections and an Employee Stock Purchase Plan. These elements pair with solid insurance to strengthen overall financial security.
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Parental & Family Support — Family supports include paid parental leave and adoption assistance, complemented by family medical leave. These programs align with broader leave options to support caregiving needs.
Pitney Bowes Inc. Insights
What We Do
Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.
