Job Description
Job Title: Senior Software Engineer
Designs, develops, and deploys advanced AI-powered applications leveraging Large Language Models (LLMs), prompt engineering, and modern orchestration frameworks. This role aligns with industry titles such as Senior AI Engineer, Senior Machine Learning Engineer (LLM-focused), and Generative AI Engineer.
Synopsis
Leads the design and development of scalable AI-driven systems, focusing on LLM integrations, prompt optimization, and agent-based workflows, while ensuring high performance, reliability, and production readiness.
Responsibilities
- Design, develop, and maintain AI-powered applications using LLMs, prompt engineering, and orchestration frameworks (e.g., LangGraph, LangChain).
- Build and optimize prompt strategies for accuracy, performance, and cost efficiency across different LLM providers.
- Architect and implement agent-based workflows and multi-step reasoning systems using modern AI frameworks.
- Integrate LLM solutions into scalable backend systems and APIs.
- Evaluate, fine-tune, and monitor AI models for performance, bias, and reliability.
- Ensure security, compliance, and responsible AI practices in all implementations.
- Collaborate with cross-functional teams including Product, DevOps, and Data teams to deliver AI-driven features.
- Establish best practices for AI engineering, prompt versioning, and experimentation frameworks.
- Optimize system performance, latency, and cost when working with AI services.
- Contribute to CI/CD pipelines for AI applications and ensure smooth deployment cycles.
- Stay up to date with emerging trends in Generative AI, LLMs, and AI tooling.
Requirements
- Bachelor's degree in computer science, Software Engineering, or related field.
- 4–7+ years of experience in software engineering, with hands-on experience in AI/ML or LLM-based systems.
- Strong experience with prompt engineering and LLM APIs.
- Hands-on experience with frameworks such as LangGraph, LangChain, or equivalent orchestration tools.
- Proficiency in at least one programming language such as Python, JavaScript/TypeScript, or Java.
- Strong understanding of REST APIs, microservices architecture, and cloud environments (preferably AWS).
- Experience with AI evaluation techniques, prompt testing, and model performance tuning.
- Familiarity with CI/CD, DevOps practices, and containerization (Docker/Kubernetes).
- Solid understanding of software engineering best practices, including testing, security, and scalability.
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
Nice to Have
- Experience with fine-tuning LLMs or open-source models (e.g., LLaMA, Mistral).
- Knowledge of multi-agent systems and AI workflow orchestration.
- Exposure to data pipelines, NLP techniques, or deep learning frameworks (PyTorch/TensorFlow).
- Experience in cost optimization strategies for AI systems.
- Contributions to open-source AI projects or research publications.
Persona
- Passionate about Generative AI and emerging technologies
- Strong ownership mindset with leadership qualities
- Excellent communication and collaboration skills
- A proactive problem solver with a continuous learning attitude
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe every learning opportunity can lead to a personal breakthrough, and we are committed to making that possible through innovation and technology.
As the world’s lifelong learning company, we are continuously evolving how education is delivered leveraging cutting-edge technologies, including AI, to create smarter, more personalized, and accessible learning experiences.
Joining our team means being part of a culture where learning isn’t just what we do, it’s who we are. You will have the opportunity to work on impactful solutions that reach millions of learners globally, while contributing to the next generation of AI-driven digital products.
Workplace Type
Hybrid
Employment Type
Full-Time
