Pearson Recruitment 2026 Hiring Software Engineer Apprentice
Pearson is inviting applications for the Software Engineer Apprentice role through its 2026 recruitment drive. This opportunity is ideal for freshers and recent graduates who want to gain hands-on experience in software development, coding, testing, and modern technologies while working with a globally recognized education and technology company. Interested candidates with strong technical and analytical skills can apply online for this exciting apprenticeship opportunity.
Job Details:
- Designation: Software Engineer Apprentice
- Company: Pearson
- Educational Qualification: B.E/B.Tech
- Experience Required: Freshers
- Location: Bangalore, India
- Compensation: Best in Industry
About the Apprenticeship Program:
Pearson India’s Apprenticeship Program provides graduates and early-career professionals with structured training, hands-on experience, and mentorship from industry experts. Through a blend of on-the-job learning and guided development, apprentices build the professional and technical skills needed to succeed in a global organization.
About the Team:
AgentOps is a strategic enterprise capability focused on building, operating, and governing AI agents as first-class production systems across Pearson. The team enables a symbiotic workforce where employees and AI agents work together to accelerate outcomes, improve quality, and deliver measurable business value while maintaining high standards of trust, governance, and compliance.AgentOps operates across multiple integrated streams including Agentic Automations, Agentic Applications, and Agentic Engineering. The team delivers production-grade agentic solutions that modernize critical business workflows such as document processing, decision tracking, content quality assurance, and executive operations.
About the Role:
As an AgentOps Engineering Apprentice, you will work closely with experienced engineers, product leaders, and AI practitioners to design, build, test, and operate enterprise-grade AI agents and agentic applications. This role is designed for recent graduates who are eager to gain hands-on experience with modern software engineering, cloud platforms, and emerging agentic AI technologies.
The apprenticeship is learning-focused and hands-on. Apprentices contribute to real production initiatives while developing strong foundations in software engineering best practices, system reliability, and responsible AI.
Required Qualifications:
- Final-year engineering student or recent graduate with a Bachelor’s degree in Computer Science, Engineering,.
- Strong knowledge in Python and any of the Agentic Frameworks
- Solid understanding of data structures, algorithms, and basic software engineering concepts.
- Strong problem-solving skills and a willingness to learn new technologies.
- Exposure to AI/ML concepts, large language models
- Interest in Agents,AI, automation, and modern cloud-based systems.
Preferred / Nice-to-Have Skills:
- Understanding of APIs, microservices, or cloud platforms.
- Familiarity with Git, CI/CD pipelines, agile development practices.
- Interest in responsible AI, platform engineering, or system reliability.
Eligibility Criteria:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
- Recent graduates or candidates with less than one year of experience are encouraged to apply.
- Must meet requirements under the Apprenticeship Act, 1961 and be registered on the NATS portal.
- Must be legally eligible to work in India.
Experience You Will Gain:
- Hands-on experience building and operating enterprise AI agents.
- Exposure to production-grade AI systems, governance, and observability practices.
- Structured mentorship from senior engineers operating in a player-coach model.
- Opportunities for continuous learning, upskilling, and certification aligned with AgentOps engineering standards.
Key Responsibilities:
- Assist in building and enhancing agentic applications and intelligent automations that support real business workflows across Pearson.
- Work with senior engineers to develop reusable AI agents using approved frameworks and the AgentOps orchestration platform.
- Participate in solution design discussions, intake reviews, and engineering reviews to understand how enterprise AI solutions are designed and governed.
- Support implementation of observability, logging, testing, and evaluation mechanisms to ensure agent quality, reliability, and safe behavior.
- Contribute to documentation, testing, and continuous improvement of agentic solutions.
- Learn and adhere to AI policy, security, privacy, and compliance guardrails while working on production systems.
Interested students can apply directly at 👉 Pearson Recruitment 2026
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