Staff Software Engineer (AI / LLM Platform)

· 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;”>
</div><div 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)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Responsibilities</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Enhance and scale existing AI agentic pipelines that support personalized user experiences across a large-scale SaaS platform</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Design, develop, and deploy production-grade LLM-based solutions using modern agentic frameworks</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Collaborate with cross-functional teams to translate product requirements into scalable technical implementations</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Contribute across the full software development lifecycle, from system design through deployment and optimization</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Work within a cloud-native architecture leveraging both AWS and Azure environments</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Partner

· 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</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Required Skills & Experience</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· 8-10+ years of professional software engineering experience, with a strong emphasis on backend development</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Hands-on, production-level experience building and deploying AI/LLM-based applications (agentic workflows required)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Proficiency in Python and modern AI frameworks such as LangChain or LangGraph</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Experience working with multi-LLM systems, model fine-tuning, and real-world AI deployment challenges</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Strong experience with both AWS and Azure cloud platforms (AWS primary, Azure for AI/ML workloads)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Ability to operate independently while collaborating effectively within a team environment</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Strong computer science fundamentals; a CS degree is highly preferred</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">
</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">Preferred Qualifications</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Experience with React for light frontend contributions (~10-15% of role)</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Familiarity with Java-based systems</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Exposure to vector databases such as Pinecone or similar technologies</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;">· Cloud certifications (AWS and/or Azure) are a plus</div><div fr-original-style="" style="box-sizing: border-box; font-family: inherit; font-size: inherit;"><br

· Base Salary: $150,000 - $170,000 · Bonus: 15% annual performance bonus

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.