Job location
Hoboken, United States of America
Tech stack
Java
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
Cloud Computing
Python
Software Deployment
Software Engineering
React
Large Language Models
Backend
Front End Software Development
Job description
· Enhance and scale existing AI agentic pipelines that support personalized user experiences across a large-scale SaaS platform
· Design, develop, and deploy production-grade LLM-based solutions using modern agentic frameworks
· Collaborate with cross-functional teams to translate product requirements into scalable technical implementations
· Contribute across the full software development lifecycle, from system design through deployment and optimization
· Work within a cloud-native architecture leveraging both AWS and Azure environments
· Partner with engineering leadership to drive best practices, improve system performance, and ensure reliability at scale, fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
Job Title: Staff Software Engineer (AI / LLM Platform)
Location: Hoboken, NJ (hybrid -3x)
Responsibilities
· Enhance and scale existing AI agentic pipelines that support personalized user
experiences across a large-scale SaaS platform
· Design, develop, and deploy production-grade LLM-based solutions using modern agentic frameworks
· Collaborate with cross-functional teams to translate product requirements into scalable technical implementations
· Contribute across the full software development lifecycle, from system design through deployment and optimization
· Work within a cloud-native architecture leveraging both AWS and Azure environments
· Partner
Requirements
· 8-10+ years of professional software engineering experience, with a strong emphasis on backend development
· Hands-on, production-level experience building and deploying AI/LLM-based applications (agentic workflows required)
· Proficiency in Python and modern AI frameworks such as LangChain or LangGraph
· Experience working with multi-LLM systems, model fine-tuning, and real-world AI deployment challenges
· Strong experience with both AWS and Azure cloud platforms (AWS primary, Azure for AI/ML workloads)
· Ability to operate independently while collaborating effectively within a team environment
· Strong computer science fundamentals; a CS degree is highly preferred
Preferred Qualifications
· Experience with React for light frontend contributions (~10-15% of role)
· Familiarity with Java-based systems
· Exposure to vector databases such as Pinecone or similar technologies
· Cloud certifications (AWS and/or Azure) are a plus, · Must be authorized to work in the United States - no visa sponsorship available, with engineering leadership to drive best practices, improve system performance, and ensure reliability at scale
Required Skills & Experience
· 8-10+ years of professional software engineering experience, with a strong emphasis on backend development
· Hands-on, production-level experience building and deploying AI/LLM-based applications (agentic workflows required)
·
Proficiency in Python and modern AI frameworks such as LangChain or LangGraph
· Experience working with multi-LLM systems, model fine-tuning, and real-world AI deployment challenges
· Strong experience with both AWS and Azure cloud platforms (AWS primary, Azure for AI/ML workloads)
· Ability to operate independently while collaborating effectively within a team environment
· Strong computer science fundamentals; a CS degree is highly preferred
Preferred Qualifications
· Experience with React for light frontend contributions (~10-15% of role)
· Familiarity with Java-based systems
· Exposure to vector databases such as Pinecone or similar technologies
· Cloud certifications (AWS and/or Azure) are a plus
<br
Benefits & conditions
· Base Salary: $150,000 - $170,000
· Bonus: 15% annual performance bonus
About the company
We are seeking a Staff Software Engineer to join a product-focused engineering team building next-generation AI-driven platforms within the education technology space. This role will focus on enhancing and scaling agentic AI pipelines that power personalized learning experiences for higher education users. This is a full-time position based in the U.S. with a hybrid schedule in Northern New Jersey. The ideal candidate has strong backend engineering fundamentals combined with hands-on experience delivering production-grade AI/LLM solutions. U.S. work authorization is required. No visa sponsorship is available at this time.