Senior Software Engineer

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
• Mentor junior engineers and support team-wide technical growth

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
• Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• 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

About the Company

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company.