AI/ML Engineer

Job Title

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 (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.

Required Qualifications:

• 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

Other Qualifications:

• 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.