Staff Software Engineer (Python/AI/LLMs)

Job ID: BA39096965Location: Hoboken, New JerseyJob Type: PermanentPay: $170000Posted: 2026-08-20Our client is seeking a Staff Software Engineer(Python/AI) to help drive the development of next-generation AI-powered learning products. This is a highly technical, hands-on role focused on agentic AI systems, LLM integration, and scalable platform development. The ideal candidate will have experience building production AI applications and a strong background in backend engineering, distributed systems, and modern cloud technologies.Job Title: Staff Software Engineer (AI / LLM Platform)Salary: $160,000 - $190,000 Base + 15% Bonus Location: Hoboken, NJ (Hybrid | 3 Days Per Week Onsite)Required Skills & Experience8+ years of software engineering experience focused on scalable application development and system design.Hands-on experience building and deploying AI/LLM-powered applications in production environments.Experience developing agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.Strong experience with Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).Advanced Python development experience building AI workflows and backend services.Strong experience with Java and modern distributed application development.Hands-on experience with React and modern front-end development.Strong SQL and data modeling experience.Experience designing scalable APIs, distributed systems, and high-performance web applications.Cloud experience with AWS and/or Azure.Experience leading technical design efforts and influencing the direction of complex software platforms.Preferred QualificationsExperience with vector databases such as Pinecone, Weaviate, or similar technologies.Experience deploying cloud-native AI applications at scale.AWS and/or Azure certifications.Experience in EdTech or learning technology environments.Bachelor's degree in Computer Science, Engineering, or a related technical field.If interested in learning more, please apply directly or reach out to Ryan Dwyer at View email address on click.appcast.io.#LI-Hybrid