Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems
Job Summary
Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data.
Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business.
Matching Summary
Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems.
Skills & Requirements
Must-have
GenAI and general AI solutions
scalable data systems
AI/ML model integration
Python, C#, or JavaScript/TypeScript
GenAI models
RESTful or event-driven APIs
cloud platforms (Azure, AWS, or GCP)
big-data technologies
Nice-to-have
self-driven, dedicated individual
works well in a global team
thinks and acts strategically
user experience focus
Key Requirements
Bachelor’s degree in Computer Science, Engineering, or related discipline (or equivalent experience)
Minimum of 5 years of experience in information technology
Hands-on experience developing or integrating AI/ML models
Proficiency in Python, C#, or JavaScript/TypeScript
Experience with GenAI models
Experience consuming and building RESTful or event-driven APIs
Solid understanding of cloud platforms (Azure, AWS, or GCP)
Familiarity with data pipelines, feature stores, or model lifecycle management
Demonstrated experience with big-data technologies