Production-Grade Generative AI Engineer

Mactores; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mactores seeks a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI models that solve real-world problems. You will build content-generating and data-understanding systems, collaborating with cross-functional teams to deliver production-grade solutions on AWS.

You will optimize models for performance and cost, implement RAG pipelines, and ensure observability, security, and bias mitigation across deployed applications.

Qualifications

• 3+ years of experience in Python with strong software engineering fundamentals.
• Hands-on experience with LLMs and prompt engineering strategies.
• Experience designing RAG pipelines and working with vector databases.
• Proficiency in model fine-tuning (e.g., LoRA) and embedding-based systems.
• Experience with cloud platforms and deploying AI models in production.
• Strong debugging, optimization, and problem-solving skills.
• Clear and effective technical communication.
• Production-first mindset with attention to cost, reliability, and performance.

Responsibilities

• Design and implement generative AI solutions using large language models (LLMs).
• Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
• Fine-tune and optimize models for performance, cost, and reliability.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
• Develop APIs and backend components for production-grade AI applications.
• Implement observability, performance monitoring, and security best practices.
• Drive responsible AI adoption through evaluation, bias detection, and compliance.

Skills

Python

LLMs

Prompt engineering

RAG pipelines

Vector databases

LoRA

Embedding-based systems

Cloud deployment

Debugging & optimization

Technical communication

Tools

LangChain

LlamaIndex

AWS SageMaker

AWS Bedrock

AWS Lambda

LoRA tooling

Job description

Mactores seeks a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI models that solve real-world problems. You will build content-generating and data-understanding systems, collaborating with cross-functional teams to deliver production-grade solutions on AWS.

You will optimize models for performance and cost, implement RAG pipelines, and ensure observability, security, and bias mitigation across deployed applications.