Senior Software Engineer

A hands-on senior engineer who builds production-grade agentic systems, not demos.

An independent owner who takes complex workstreams from ambiguity to reliable, shipped software.

A collaborator who influences through standards and mentoring, without needing authority.

Someone with strong taste and trade-off judgment across quality, latency, cost, resilience, and maintainability.

You build LLM-powered systems, agents, or digital workers that run in production.

Strong Python and backend/platform engineering—async services, typed code, and clean architecture.

You work fluently with agent orchestration frameworks and can design, build, and orchestrate reliable agent tools—contracts, error handling, tool chaining.

You’ve built routing, dispatch, or workflow-control logic that directs work across components or services.

You use AI-pair-programming as a primary delivery mode without sacrificing quality.

Strong prompt engineering for structured outputs, nested schemas, and multi-agent coordination.

You read, edit, and contribute to a real platform codebase—APIs, runtime, storage—not just an SDK.

Solid APIs, distributed systems, and cloud-native engineering, with production-reliability instincts.

Experience evaluating agents—task success, groundedness, tool-use accuracy, schema conformance, and regression against golden fixtures.

Experience with tool/context interoperability protocols (such as MCP).

Experience with a major cloud platform (AWS preferred), containerization, and CI/CD; familiarity with state stores for orchestration and persistence.

AI observability and evaluation tooling for LLM systems.

RAG and memory patterns: vector databases, hybrid retrieval, re-ranking, and grounding.

Secure execution, sandboxing, and prompt-injection mitigation.

A front-row seat building enterprise agentic AI infrastructure that teams across Pearson rely on.

Real ownership of orchestration, routing, and platform patterns others adopt.

A collaborative, inclusive, and innovation-driven culture.

Access to cutting-edge tools, platforms, and thought leadership.

At Pearson, we don’t just build careers—we accelerate them. Known for our strong culture of internal mobility and leadership development, we offer a clear path to broader technical and leadership roles.

We believe great work deserves great rewards. That’s why we offer some of the most competitive benefits in the industry—designed to support the diverse needs of our people and their families. Explore our Benefits.

At Pearson, we’re reimagining learning through technology. If you’re an engineer who thrives in complexity, builds with craft, and is excited to put AI agents to work at scale—we’d love to hear from you.

Compensation at Pearson is influenced by factors including skill set, experience, and location.

The full-time salary range for this role is $90,000 – $135,000.

This position is eligible to participate in an annual incentive program. Information on benefits can be found here.

Applications will be accepted through 5th August 2026. This window may be extended depending on business needs.

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. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: OCTO