Senior Software Engineer - AgentOps
Pearson (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Build production-grade AI agent systems enabling agents to take real, governed actions through enterprise API integration and safe write semantics.
- Design and implement multi-agent orchestration frameworks and routing layers to manage complex workflows, delegations, and agent dispatch across components.
- Enhance and contribute to the core agentic AI platform by developing resilient, stateful workflows and driving reusable engineering standards with high-quality delivery using AI-pair-programming.
Minimum Requirements
- Experience building LLM-powered systems, AI agents, or digital workers running in production.
- Proficient in Python backend/platform engineering with async services, typed code, and clean architecture.
- Familiarity with agent orchestration frameworks, multi-agent coordination, routing and workflow-control logic.
- Work Experience Required: Not explicitly mentioned in the JD.
- On-site work required (location: Not explicitly mentioned)
Ideal Candidate Profile
- Senior engineer with demonstrated ownership of complex AI agentic system workstreams from ambiguity to production-ready software.
- Skilled collaborator and mentor, influencing through engineering standards and code/design reviews without formal authority.
- Experience balancing trade-offs among quality, latency, cost, resilience, and maintainability in distributed, cloud-native AI platforms.