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.
* 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
* 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
2. AgentOps Lifecycle Ownership
* Own full lifecycle: intake → design → validation → deployment → monitoring →
improvement
* Ensure Observability, evaluation frameworks, and guardrails are in place
3. 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)