Agentic AI Engineer-F2F Interview

Key Responsibilities

Design build and deploy AI agentic systems using LLMs (OpenAI Anthropic Llama etc.).

Develop autonomous multi-agent workflows memory systems and decision-making pipelines.

Build modular and reusable Python components for agent cognition planning tools and actions.

Integrate agents with APIs databases vector stores automation tools and cloud services .

Implement prompt engineering RAG pipelines and reasoning-enhanced agent behaviors.

Optimize agent performance response quality reliability and tool-use accuracy.

Develop backend services microservices and REST APIs to support AI applications.

Use frameworks such as LangChain LlamaIndex CrewAI AutoGen FastAPI etc.

Implement best practices for version control testing observability and deployment .

Collaborate with product ML and engineering teams to design intelligent AI solutions.

Stay current with emerging agentic architectures LLM capabilities and automation trends.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1