Were looking for an experienced AI Engineer to help us build and deploy cutting-edge GenAI systems that create real impact across industries.
What Youll Do:
Build end-to-end GenAI solutions -from POC to production
Develop scalable backend services using Python and microservices
Deploy across GCP, Azure, and AWS using cloud-native AI tools
Collaborate with cross-functional teams and clients to translate business needs into AI-powered systems
Continuously explore and integrate emerging GenAI models and frameworks
Develop and optimize LLM-based systems, including Retrieval-Augmented Generation (RAG) architectures.
What Youll Do:
Build end-to-end GenAI solutions -from POC to production
Develop scalable backend services using Python and microservices
Deploy across GCP, Azure, and AWS using cloud-native AI tools
Collaborate with cross-functional teams and clients to translate business needs into AI-powered systems
Continuously explore and integrate emerging GenAI models and frameworks
Develop and optimize LLM-based systems, including Retrieval-Augmented Generation (RAG) architectures.
Requirements:
Proven experience with LLMs and GenAI technologies
Hands-on development of RAG-based systems and applications
Strong backend development skills (Python, APIs, microservices)
Experience with cloud platforms: GCP, Azure, AWS
Ability to work independently and collaboratively in dynamic environments
Passion for innovation and solving complex challenges with AI.
Proven experience with LLMs and GenAI technologies
Hands-on development of RAG-based systems and applications
Strong backend development skills (Python, APIs, microservices)
Experience with cloud platforms: GCP, Azure, AWS
Ability to work independently and collaboratively in dynamic environments
Passion for innovation and solving complex challenges with AI.
This position is open to all candidates.
