Generative AI Engineer

Mainz Brady Group; United States; Remote; USD 82,656 - 96,432; Part time

Job summary

A leading technology firm is seeking a Principal AI Engineer to design and deploy cutting-edge conversational AI solutions. This role involves building AI/ML pipelines, integrating large language models, and developing agent-based AI architectures. Ideal candidates have over 3 years of experience in Python and LLMs. This position offers the flexibility of a fully remote work environment.

Qualifications

• 3+ years of strong Python development experience.
• Hands-on expertise with LLMs (GPT, LLaMA, etc.).
• Proficiency in LlamaIndex for vector data ingestion, indexing, and retrieval.
• Proven experience building or integrating agentic/multi-agent AI systems.
• Skilled at simplifying complex technical concepts for stakeholders.

Responsibilities

• Build AI/ML pipelines using Python.
• Design agent-based AI architectures for autonomous tasks.
• Gather requirements and translate them into user stories.
• Prototype AI features with user feedback.
• Fine-tune large language models for specific tasks.

Skills

Python development

LLMs (GPT, LLaMA)

LlamaIndex

AI systems integration

Technical communication

Job description

This range is provided by Mainz Brady Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $70.00/hr

REMOTE!! Start up exp a must:)!!

We’re looking for a Principal AI Engineer to join our Engineering team and build cutting-edge conversational AI solutions. You’ll play a leading role in designing and deploying intelligent chatbots, virtual assistants, recommendation systems, and multi-agent AI frameworks that turn real-world use cases into robust, scalable workflows.

This is a unique opportunity to shape the future of applied AI, working at the forefront of conversational AI innovation in a collaborative, forward-thinking environment.

Responsibilities

• Build AI/ML pipelines and integrations using Python, LLMs, and LangChain/LlamaIndex.
• Design and implement agent-based AI architectures (Agentic AI) to enable autonomous, multi-step task completion.
• Partner with stakeholders to gather requirements, craft use cases, and translate them into user stories and technical requirements.
• Rapidly prototype and refine AI-driven features with direct client and user feedback.
• Fine-tune large language models for domain-specific tasks, ensuring scalability, accuracy, and efficiency.

Qualifications

• 3+ years of strong Python development experience.
• Hands-on expertise with LLMs (GPT, LLaMA, etc.).
• Proficiency in LlamaIndex for vector data ingestion, indexing, and retrieval.
• Proven experience building or integrating agentic/multi-agent AI systems.
• Skilled at simplifying complex technical concepts for stakeholders.
• Preferred: background in educational technology, or related fields.

Ability to thrive in a fully remote environment with strong self-management and collaboration skills.

Seniority level

• Mid-Senior level

Employment type

• Contract