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. · 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.

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

Key Skills

Education

Bachelor's degree