Mactores
Linkedin · Posted 15d ago
Mactores - Generative AI Engineer
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Indexed description
What you will do ?
- 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.
- 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.
- 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.
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