Generative AI Engineer

Mactores • Seattle, WA

91d

About The Position

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions.

Requirements

• 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.

Nice To Haves

• Practical experience with frameworks like LangChain or LlamaIndex.
• Exposure to multi-modal AI systems.
• Familiarity with ML/MLOps and large-scale deployment practices.
• Experience supporting systems at high request volumes.

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.

Benefits

• Equal opportunities in all employment practices.
• No discrimination based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed