Senior Software Engineer
About The Position
Pearson Learning Studio (PLS) is seeking a Senior Software Engineer to join the REIA squad within the PLS team. This role focuses on designing and building next-generation AI-powered learning experiences using Agentic AI frameworks and LLM-based architectures. The engineer will be responsible for developing intelligent, scalable AI systems with a strong emphasis on Agentic workflows, LangGraph-based orchestration, state management, prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess deep experience in 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
- eligible to participate in an annual incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
