Senior Agentic AI Engineer

🕒 3 days ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shuru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• 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 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.