Job Description

Key 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.
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.
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.

Bachelor's degree in Computer Science, Engineering, or a related field.
A minimum of 10 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 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.
Estimate at a high level cost of usage in Google Cloud Platform for applications hosted/deployed
Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production

Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
A portfolio of projects demonstrating your expertise in AI and full-stack development.

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