Description

You will build and deploy AI solutions leveraging modern LLM and data engineering practices.

Responsibilities

• Implement LLM workflows, RAG pipelines, and agentic orchestration using frameworks like LangChain, LangGraph, or CrewAI.
• Design, develop, and maintain scalable data pipelines using Python and Azure technologies.
• Containerize and deploy solutions using Docker, Kubernetes, and cloud-native architectures (Azure/AWS/GCP).
• Collaborate with data scientists and stakeholders to translate requirements into functional solutions.
• Ensure data quality, observability, and adherence to security standards across deployed systems.

Required Skills

• 6-8 years of professional experience in data engineering with a focus on Python.
• Experience implementing Generative AI (Gen AI) and AI solutions.
• Proficiency with cloud platforms, specifically Azure, AWS, and GCP.
• Demonstrable experience with CI/CD practices and deployment pipelines.
• Familiarity with LLM integration and related frameworks.
• Bachelor's or Master's degree in Computer Science or a related field.

Key Skills

Education

Bachelor's or Master's degrees