Agentic AI/AI Engineer - Generative AI Machine Learning

Role overview

Responsibilities

• check_circle Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
• check_circle Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
• check_circle Design, create, and deploy intelligent agents to automate and optimize processes.
• check_circle Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
• check_circle Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
• check_circle Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (GCP) environment.
• check_circle Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
• check_circle Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Basic 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

Preferred 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.