The AI Engineer will play a key role in migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents.
Responsibilities:
- Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning
- 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 (GCP) environment
- Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces
- 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
- A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role. 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)
- Strong proficiency in Python for backend development and machine learning
- 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
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