AI Automation Engineer

AI AUTOMATION ENGINEER

Seeking an experienced AI Automation Engineer specializing in applying Large Language Models (LLMs) to Enterprise Use Cases. The ideal candidate will have expertise in building AI Agents, implementing prompt-chaining methodologies, and leveraging modern AI development tools to create innovative solutions. Excellent communication skills are required as you will be working directly with end users to understand requirements and implement effective AI solutions tailored to specific use cases.

Responsibilities

Collaborate with end users to gather requirements, define use cases, and design appropriate AI solutions

Design and develop AI Agents and agentic applications using LLMs and their APIs

Implement prompt-chaining and RAG (Retrieval Augmented Generation) architectures

Set up and optimize vector databases for efficient knowledge retrieval

Build and deploy AI applications using Node.js, TypeScript, and modern web frameworks

Evaluate and fine-tune LLM prompt responses for optimal performance

Provision and manage cloud infrastructure for AI applications

Collaborate using GitHub for version control and project management

Translate business needs into technical solutions and communicate AI capabilities effectively

Configure and optimize ChatGPT, OpenAI Assistants, and Anthropic Claude implementations

Stay current with emerging AI trends, techniques, and best practices

Requirements

2+ years of experience working directly with LLMs and their APIs

Strong understanding of AI Agents, agentic architectures and implementation patterns

Proficiency with ChatGPT, OpenAI Assistants API, and the OpenAI admin interface/settings

Experience working with Anthropic Claude and its API

Proficiency in Python, Node.js, TypeScript, and modern JavaScript frameworks

Experience with vector databases (e.g., Pinecone) and embedding techniques

Knowledge of RAG methodologies, chunking strategies, and prompt engineering

Proven ability to develop web applications using HTML, JavaScript, and CSS

Experience with AI development tools such as Lovable, Replit, or Cursor IDE

Strong client/server architecture understanding and implementation experience

Demonstrated ability to evaluate and optimize LLM responses

Proficient with GitHub for version control, collaboration, and CI/CD workflows

Excellent communication skills for requirements gathering and solution presentation

Commitment to staying informed about industry trends and emerging AI capabilities