Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
We are looking for an experienced
AI Platform Engineer with strong expertise in
AWS, Python, and modern AI/GenAI technologies. The candidate will be responsible for designing, developing, and deploying scalable AI solutions, building automation pipelines, and integrating cloud-native services.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Mandatory Skills
- Strong hands-on experience with AWS cloud services.
- Good understanding of CI/CD pipelines and deployment automation.
- Experience working with NoSQL databases, preferably MongoDB Atlas.
- Proficiency in Python development.
- Hands-on experience building AI/GenAI solutions, including:
- RAG (Retrieval-Augmented Generation) pipelines
- AI Agents and Skills
- AWS Bedrock and Bedrock AgentCore
- Experience with AI orchestration and development frameworks such as LangChain and LlamaIndex.
- Ability to design, develop, and deploy scalable AI services in cloud environments.
Preferred Skills
- Experience with cloud-native architectures and microservices.
- Familiarity with MLOps and AI deployment best practices.
- Strong problem-solving and collaboration skills.
IN
