Role Summary :

We are looking for a hands-on AI Engineer with strong expertise in Generative AI and Agentic AI systems, focused on building and operating production-grade applications.

The ideal candidate must have practical experience designing, developing, and scaling real-world AI solutions powered by LLMs, autonomous agents, and modern AI orchestration frameworks. This role requires strong engineering discipline to deliver reliable, observable, and maintainable AI systems used by real users in production environments.

Email your resume on Shivani.upadhyay@Netweb.biz or call on 6351899912.

Core Responsibilities :

- Design, build, and maintain production-grade Generative AI and Agentic AI systems.

- Develop end-to-end LLM-powered applications with strong focus on reliability, scalability, and performance.

- Design and implement autonomous agents with structured reasoning, controlled execution flows, and tool integration.

- Build agent orchestration workflows including memory management, multi-step reasoning, and safe execution mechanisms.

- Implement robust guardrails, monitoring, and observability across agent workflows.

- Develop and optimize retrieval and knowledge augmentation pipelines supporting LLM grounding and contextual accuracy.

- Ensure structured output handling, validation, and predictable system behavior.

- Build scalable serving infrastructure for AI workloads including streaming, caching, and performance optimization.

- Apply LLMOps best practices including evaluation pipelines, prompt management, versioning, and monitoring.

- Optimize cost, latency, and system reliability for production-scale deployments.

- Collaborate with engineering teams to integrate AI systems into production environments following enterprise engineering standard.