Whiztek Corp

Agentic AI/AI Engineer - Generative AI & Machine Learning

Schaumburg, Illinois

Sponsorship not specifiedDetected 29 days ago

PythonReactBackend DevelopmentFull-Stack DevelopmentSQLMySQLBigQueryAWSGCPCloud PlatformsMachine LearningData AnalysisLLMsRAGAgentic AIManual TestingAdaptability

About the role

We are seeking a highly motivated and adaptable AI Engineer to join our innovative team.
This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.

Responsibilities

Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
Design, create, and deploy intelligent agents to automate and optimize processes.
Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with Python is a must.
Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
Solid experience with React for frontend development.
Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
Experience in taking over existing AI/ML applications from other teams.
Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.

Benefits

Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.

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