Role Overview:We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal candidate will possess a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. This role is crucial for migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents in a fast-paced environment.
Key Responsibilities:- Develop, maintain, and enhance existing applications utilizing 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 translate business requirements into technical specifications for AI engineering projects.
- Conduct experiments, implement new technologies, and contribute to the rapid evolution of AI capabilities.
- Lead the migration of existing projects, including those with agents and LLMs, to the Google Cloud Platform (GCP) environment.
- Engage in full-stack development, focusing 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 Skills:- 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 GCP technologies and APIs.
- 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 (e.g., Agentic RAG).
- 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.
- Ability to estimate high-level cost of usage in GCP for applications hosted/deployed.
- Familiarity with functional and non-functional testing of AI/ML applications and operationalizing them in production.
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.
Preferred Skills:- Familiarity with Amazon Web Services (AWS).
- Knowledge of LLM models trending in the industry.
- A portfolio of projects demonstrating expertise in AI and full-stack development.
