Generative AI Engineer

🕒 May 7

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mactores

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

🏢 Enterprise

Consulting • Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• Equal opportunities in all employment practices • Commitment to non-discrimination