21 Aug
|
Pearson
|
Bengaluru
Description
Senior Software Engineer – AgentOps
About the Role
We are looking for a Senior Software Engineer to design, build, and scale enterprise-grade agentic AI systems within the AgentOps. This role goes beyond traditional GenAI engineering - focusing on agent orchestration, context engineering, and production-grade AI systems that automate and transform business workflows through Agents.
You will work at the intersection of LLMs, software engineering, and platform design, owning solutions end-to-end - from ideation to production - while ensuring reliability, safety, and measurable business impact.
Why Join AgentOps
Work on cutting-edge agentic AI systems at enterprise scale
Help build a symbiotic workforce of humans and AI agents
Solve real business problems across enterprise
Be part of shaping next-gen AI engineering practices
Key Responsibilities
Agentic System Design & Development
Design and build multi-agent systems and orchestrated workflows for enterprise use cases
Develop AI-powered solutions using existing SOTA LLMs from hyperscalers and enterprise data sources
Implement RAG pipelines, knowledge retrieval, and context-aware reasoning systems
AgentOps Lifecycle Ownership
Own full lifecycle: intake → design → validation → deployment → monitoring → improvement
Ensure Observability, evaluation frameworks, and guardrails are in place
Platform & Integration Engineering
Integrate AI solutions into Teams, web apps, and enterprise systems
Build APIs, backend services, and orchestration layers for scalable deployments
Should be well versed with one of the public cloud platform (AWS or Azure or GCP)
Observability, Reliability & Governance
Implement monitoring (latency, accuracy, failure modes) and logging pipelines
Ensure responsible AI practices, security, and compliance
Optimize models and workflows for cost, performance, and scalability
Innovation & Business Impact
Partner with product and business teams to i
📌 Senior Software Engineer – Agentops Bengaluru
🏢 Pearson
📍 Bengaluru