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.
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate 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. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
Originally posted on Himalayas
