Senior Software Engineer

Pearson • Hoboken, NJ

2d • $130,000 - $150,000 • Onsite

About The Position

Pearson Learning Studio is seeking a Senior Software Engineer to join the REIA squad within the PLS team to help design and build next-generation AI-powered learning experiences using Agentic AI frameworks and LLM-based architectures. This role is focused on developing intelligent, scalable AI systems with strong emphasis on Agentic workflows, LangGraph-based orchestration, state management, prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will have deep experience building AI-driven applications using Python and modern AI orchestration frameworks.

Requirements

• 6–8 years of software engineering experience.
• Strong hands-on experience with Python development.
• Experience building AI/LLM-powered applications in production environments.
• Hands-on experience with LangGraph, LangChain, or similar AI orchestration frameworks.
• Strong understanding of Agentic AI concepts, workflow orchestration, and state management.
• Experience implementing RAG pipelines, embeddings, and vector databases.
• Strong prompt engineering skills and understanding of LLM behavior optimization.
• Experience building scalable APIs and distributed systems.
• Strong analytical, debugging, and problem-solving skills.
• Excellent collaboration and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Nice To Haves

• Experience with OpenAI, Anthropic, or other enterprise LLM platforms.
• Familiarity with AI observability, evaluation frameworks, and guardrails.
• Exposure to AWS, Azure, or GCP cloud platforms.
• Experience in EdTech or content-driven platforms.
• Experience working within Agile product delivery teams.

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.
• Contribute to scalable system architecture, observability, and performance optimization.
• 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.
• Contribute to architecture reviews, technical design discussions, and engineering best practices.
• Mentor junior engineers and support team-wide technical growth.

Benefits

• Annual incentive program
• Information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&data=04|01|[email protected]|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0]

What This Job Offers

• Job Type: Full-time
• Career Level: Senior