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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer (AI / LLM Platform) - **Company:** TALENER GROUP - **Location:** Hoboken, NJ, United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Python (Programming Language), Software Deployment, Software Engineering, ReactJS, Large Language Models, Backend, Front End Software Development - **Published:** June 17, 2026 - **Apply:** https://talener.com/job/staff-software-engineer-new-jersey-mqwevu-tfhg/ ## About the Role · 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 ## 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 ## Related Videos - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! 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