Design and build production agentic AI systems for IT operations, including incident resolution, workflow automation, enterprise integrations, voice bots, and conversational interfaces. Develop orchestration, tool use, RAG, evaluation, monitoring, guardrails, and human-in-the-loop controls. Optimize solutions for reliability, latency, cost, and security while taking prototypes through deployment, testing, observability, and continuous improvement.
This is a remote position.
Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools such as Cursor, Claude Code, and GitHub Copilot as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work.
We're looking for a Senior Agentic AI Engineer to design and build intelligent automation solutions for IT Operations. You'll work on AI agents that can understand incidents and operational requests, reason over enterprise data, interact with IT systems and tools, and execute multi-step remediation workflows. The role also involves building AI-powered voice bots and conversational interfaces for IT operations and support. This is a hands-on engineering role spanning LLMs, agentic workflows, voice AI, integrations, and production systems.
Job Responsibilities
- Design and build agentic AI systems for IT Operations, service management, incident resolution and workflow automation.
- Develop agents capable of reasoning, planning, tool use, orchestration and autonomous task execution, with appropriate human-in-the-loop controls.
- Build integrations with enterprise IT systems such as ServiceNow, monitoring/observability platforms, ticketing systems, knowledge bases, APIs and databases.
- Develop voice bots and conversational AI solutions for IT support and operational workflows, including speech-to-text, LLM reasoning and text-to-speech pipelines.
- Design multi-step workflows for use cases such as incident triage, diagnosis, resolution, ticket automation, knowledge retrieval and proactive IT operations.
- Build evaluation, monitoring and guardrail mechanisms to ensure agents are accurate, reliable, secure and production-ready.
- Optimize models and agent workflows for latency, cost, reliability and business impact.
- Take solutions from prototype to production, including APIs, deployment, observability, testing and continuous improvement.
Requirements
- Strong software engineering experience with Python and production backend systems.
- Hands-on experience building LLM / Generative AI applications and agentic workflows.
- Strong understanding of LLM APIs, tool/function calling, RAG, prompt engineering, structured outputs and agent orchestration.
- Experience integrating AI systems with enterprise APIs, databases and business applications.
- Experience with voice AI /conversational AI, including speech-to-text, text-to-speech and voice-agent architectures.
- Experience with one or more agent frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or equivalent.
- Strong understanding of production concerns including evaluation, observability, security, failure handling, latency and cost optimization.
- Experience working with cloud platforms, APIs, Docker and CI/CD.
- Ability to translate ambiguous business/IT problems into practical AI-powered solutions.
Benefits
- Competitive salary and benefits package.
- Work with experienced product and engineering leaders.
- Opportunities for learning, mentorship, and career growth.
- A chance to make a real impact across diverse, innovative projects.
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