Description

Lead the design, development, and deployment of scalable Generative AI solutions.

This role is remote.

Responsibilities

• Design and implement LLM-based solutions using prompt engineering, RAG, and agent architectures.
• Train, fine-tune, and optimize generative models for production environments.
• Build reusable, scalable Python and SQL components with rigorous code quality standards.
• Deploy GenAI applications on Azure, GCP, or AWS and manage CI/CD pipelines.
• Collaborate with product owners and business SMEs to define technical requirements.

Required Skills

• 8+ years of professional experience building ML models and systems.
• 1+ years of hands-on experience with LLMs, Prompt Engineering, RAG, and Agents.
• Expert proficiency in Python, Langchain, Langgraph, and SQL.
• Experience deploying GenAI applications on at least one major cloud platform (Azure, GCP, or AWS).
• Demonstrated ability to code reusable and scalable components.
• Minimum 2 years tenure at previous companies.
• Graduation from a reputable university.

Key Skills

Education

Any Graduate