Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

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.

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.

What are we looking for?

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.

Preferred Qualifications

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.

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.

What are we looking for?

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.

Preferred Qualifications

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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About Mactores Cognition Private Limited

Founded :

2008

Type :

Services

Size :

20-100

Stage :

Profitable

About

Mactores is a global technology consulting and product company with focus on delivering solutions on Cloud, Big Data, Deep Analytics, DevOps, IoT & AI

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