Job Title: Senior Software Engineer This role aligns with market job titles such as Agentic system engineer, Agentic AI Engineer, or AgentOps Engineer. Drive the future of Agentic AI at Pearson as part of the AgentOps Engineering team. Inspire innovation. Empower learning.

- Build write-path features
- Ship the features that let agents take real, governed actions - wrapping enterprise APIs, validators, and data sources so agents can write, not just read.
- Design safe write semantics: idempotency, confirmation and human-in-the-loop gates, structured outputs, and audit-ready action logging.
- Design multi-agent orchestration
- Build multi-agent and digital-worker orchestration patterns that let specialized agents delegate, collaborate, and complete multi-step goals.
- Build stateful, cyclic workflows using modern agent orchestration frameworks - enabling reflection, recovery, and adaptive execution beyond linear chains.
- Engineer agent routing
- Build the routing layer that directs requests to the right agent or crew - intent classification, capability-based dispatch, fallback, and escalation paths.
- Create reusable components for retries, degraded modes, and human handoff; tune agent roles, goals, and prompts using fixtures and golden sets.
- Enhance the platform - Work hands-on with the agentic platform - creating, versioning, invoking, and debugging crews, tasks, and graphs through platform APIs - and contribute enhancements back where new patterns are needed.
- Design long-running, resumable workflows (checkpointing, persistence, context restoration) and resilience patterns for non-deterministic AI.
- Ship with AI, at quality - Work primarily through AI-pair-programming as your default mode - researching, scaffolding, implementing, reviewing,



and shipping at high velocity while holding quality through TDD and rigorous verification.
- Raise the bar - Drive reusable engineering standards, shared libraries, and reference patterns; mentor engineers through design and code reviews; and share the prompts, skills, and workflows that multiply everyone's output.

- 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.
- Youve 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.
- Robust 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.

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📌 Senior Software Engineer (Karnataka)
🏢 Pearson
📍 Karnataka