Senior AI Engineer - India
NowVertical Group Inc. (company site, opens in a new tab)5–8 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own architecture and delivery of production agentic AI systems, including multi-agent orchestration, RAG pipelines, tool-augmented workflows, and AI applications.
- Build reusable AI services and platform capabilities; deploy and operate systems across cloud environments with monitoring, safety controls, and production incident ownership.
- Lead technical workstreams, set engineering standards, and mentor junior engineers while aligning AI delivery with product, data, and business needs.
Minimum Requirements
- Work Experience Required: 5–8 years in software engineering, including at least 3 years building LLM-based or AI systems in production.
- Demonstrated delivery of RAG pipelines, autonomous agents, and multi-step reasoning systems; strong Python and backend development skills; hands-on experience with Vertex AI/Google AI SDKs and/or Azure AI services, plus an orchestration framework such as LangGraph or CrewAI.
- Experience with GCP and/or Azure services, containerized deployment, Terraform or Pulumi, and CI/CD pipelines for AI models.
- Experience with vector databases, data pipelines, and ETL/ELT for unstructured data used in RAG or fine-tuning.
Ideal Candidate Profile
- A hands-on senior engineer who has operated production LLM systems and can diagnose and improve complex, non-deterministic agent workflows.
- Strong fit for enterprise AI work: integrates agents with APIs and event-driven systems, and prioritizes reliability, observability, safety, latency, and cost.
- Comfortable taking technical ownership, shaping architecture, mentoring engineers, and working across cloud platforms in a consultancy environment.