Agentic AI/AI Engineer - Generative AI & Machine Learning
United States·SchaumburgmidQuick Summary
Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
We are seeking a highly motivated and adaptable AI Engineer to join our innovative team. The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. You will play a key role in migrating and enhancing our AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. 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
~1 min read- →
Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
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Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
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Design, create, and deploy intelligent agents to automate and optimize processes.
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Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
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Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
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Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (GCP) environment.
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Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
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Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.
Requirements
~1 min readFamiliarity with Amazon Web Services (AWS), LLM models trending in the industry.
A portfolio of projects demonstrating your expertise in AI and full-stack development.
Bachelor’s degree in Computer Science, Engineering, or a related field.
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 GCP AI/ML services, including BigQuery, Google SQL and other technologies and APIs within GCP.
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.
Estimate at a high level cost of usage in GCP for applications hosted/deployed
Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production
Location & Eligibility
Listing Details
- First seen
- July 4, 2026
- Last seen
- July 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- July 4, 2026
Signal breakdown
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