Description

You will design and build generative AI applications from concept to production, translating business requirements into scalable system architectures.

This role is remote.

Responsibilities

• Develop LLM-powered tools, APIs, and automation workflows using RAG, prompt engineering, and orchestration frameworks.
• Build and maintain full-stack applications, ensuring secure and scalable integration of AI components into enterprise systems.
• Deploy applications on AWS, Azure, or GCP, implementing CI/CD pipelines, containerization, and deployment automation.
• Prototype and evaluate emerging GenAI tools for business applicability and industry trends.
• Collaborate with stakeholders to define solutions, communicate technical tradeoffs, and own end-to-end technical execution.

Required Skills

• 5+ years of professional experience in software engineering or AI engineering.
• Strong proficiency in Python.
• Full-stack development experience (frontend and backend).
• Experience building and deploying production software systems.
• Strong cloud experience with AWS, Azure, or GCP.
• Experience with CI/CD pipelines, containerization, and DevOps practices.
• Strong API design and integration experience.
• Proficiency with Git and modern development workflows.

Preferred Skills

• Experience building LLM-powered applications with agentic/orchestration frameworks (LangChain, LangGraph, AutoGen).
• Exposure to GenAI use cases such as RAG and tool-calling architectures.

Key Skills

Education

Any Gradute