Agentic AI Developer

Responsibilities

• Design and develop agentic AI systems using LLMs, tools, and orchestration frameworks.
• Build RAG pipelines for structured and unstructured data.
• Implement multi-agent workflows for document understanding, OCR, and data extraction.
• Build APIs and services using Python and FastAPI for AI pipelines.
• Evaluate and improve model accuracy, latency, and reliability
• Required Skills
• Strong proficiency in Python and SQL.
• Experience with LLMs, RAG, and multi-agent systems.
• Hands-on with LangChain, LangGraph or similar frameworks.
• Experience with vector databases and OCR tools.
• Experience deploying models on cloud platforms (Azure preferred).
• Knowledge of prompt engineering and agent reasoning patterns.
• Familiarity with cloud deployment and Docker.
• Good to Have
• Exposure to cloud platforms (GCP) .
• Exposure to MLOps experience.
• Knowledge of CI/CD tools.
• All your information will be kept confidential according to EEO guidelines.

Additional Information

We are seeking an Agentic AI Developer to build intelligent, autonomous AI systems that can reason, retrieve knowledge, and act across multiple tools and data sources. The role focuses on developing multi-agent pipelines, RAG systems, and real-time AI-driven applications.

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Company Intel

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