Pearson
Apprentice Software Engineer (AgentOps Engineering)
Pay
₹3.6L LPA
+22% vs avg
Location
Bangalore
On-site
Batch
2025, 2026
eligible
Closes
—
Posted 1mo ago · 3,483 views this week
₹3.6L LPA
Internship · Bangalore · On-site
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Description
Pearson is hiring
About the role
Pearson is actively hiring an Apprentice Software Engineer for its AgentOps Engineering team in Bangalore, for recent graduates and final-year students from the 2025 and 2026 batches.
Responsibilities
- Build Agentic Applications: Assist in building and enhancing agentic applications and intelligent automations that support real business workflows.
- Develop AI Agents: Work with senior engineers to develop reusable AI agents using approved frameworks and the AgentOps orchestration platform.
- Solution Design: Participate in solution design discussions, intake reviews, and engineering reviews to understand how enterprise AI is designed and governed.
- Observability & Testing: Support implementation of observability, logging, testing, and evaluation mechanisms for agent quality and reliability.
- Documentation: Contribute to documentation, testing, and continuous improvement of agentic solutions.
- Responsible AI: Learn and adhere to AI policy, security, privacy, and compliance guardrails while working on production systems.
- Continuous Learning: Build skills aligned with AgentOps engineering standards through structured mentorship.
Eligibility
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; final-year students and recent graduates are encouraged to apply.
- Batch Year: 2025 and 2026 graduates with less than one year of experience.
- Academic Performance: A consistent academic record with strong fundamentals in data structures and algorithms.
- Technical Skills: Strong knowledge of Python and any agentic framework, plus exposure to AI/ML concepts and large language models.
Skills
- Python
- Agentic framework
- AI/ML concepts
- Large language models
Benefits
- Stipend of Rs. 30,000 per month for this 12-month apprenticeship.
- Hands-on experience building and operating enterprise AI agents.
- Exposure to production-grade AI systems and governance practices.
- Structured mentorship from senior engineers in a player-coach model.
- Opportunities for continuous learning, upskilling, and certification.
Skills
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