Senior AI Engineer – Agentic Systems & LLM Orchestration

Pearson; Hoboken (NJ); Hybrid; USD 130,000 - 150,000; Full time

Job summary

Pearson Learning Studio, Hoboken, NJ, is seeking a Senior Software Engineer to join the REIA squad to build AI-powered learning experiences using Agentic AI frameworks and LangGraph orchestration.

The role emphasizes designing scalable AI systems, Agentic workflows, and RAG pipelines, with strong Python development and collaboration across product teams to deliver production-ready solutions.

Qualifications

• 6–8 years of software engineering experience.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Strong hands-on experience with Python development.
• Experience building AI/LLM-powered applications in production environments.

Responsibilities

• Design and implement Agentic AI workflows using frameworks such as LangGraph and LangChain.
• Develop and manage multi-step AI orchestration pipelines with robust state management.
• Integrate and optimize Large Language Models (LLMs) for intelligent learning experiences.
• Design and implement RAG pipelines using embeddings and vector databases.
• Create, evaluate, and optimize prompts to improve response quality, reasoning, and reliability.
• Build scalable AI services and APIs using Python.
• Develop production-grade backend services and AI integration layers.
• Collaborate with engineering and product teams to translate business requirements into AI-driven solutions.
• Troubleshoot and resolve production issues with ownership and urgency.
• Participate actively in Agile/Scrum ceremonies and technical planning sessions.
• Mentor junior engineers and support team-wide technical growth.

Skills

Python

AI/LLM apps

LangGraph

LangChain

Agentic AI

RAG pipelines

Prompt engineering

Education

Bachelor’s degree in Computer Science/Engineering

Job description

Pearson Learning Studio, Hoboken, NJ, is seeking a Senior Software Engineer to join the REIA squad to build AI-powered learning experiences using Agentic AI frameworks and LangGraph orchestration.

The role emphasizes designing scalable AI systems, Agentic workflows, and RAG pipelines, with strong Python development and collaboration across product teams to deliver production-ready solutions.