AI Engineer

3-5 Years

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Early Applicant

Job Description

Design, develop, and deploy AI-based solutions to optimize systems, workflows, and customer experiences.
Adapt and apply predictive models and machine learning algorithms to analyze customer behavior, trends, and operational data.
Develop and maintain chatbots, automation tools, and other AI-powered features to enhance user engagement and personalization.
Collaborate with cross-functional teams (engineering, product, data) to integrate AI solutions seamlessly into existing platforms and infrastructures.
Monitor, evaluate, and fine-tune AI/ML models to ensure high performance, accuracy, and relevance over time.
Apply AI techniques to data analytics, enabling automated insights, anomaly detection, and forecasting using structured and unstructured data.
Integrate AI systems with data sources, including relational databases such as SQL Server, for real-time and batch data processing.
Maintain and scale product recommendation engines using Google Cloud Platform (GCP) ML services.
Stay current with advancements in Generative AI, LLMs, and emerging ML technologies (e.g. RAG, Agentic AI, MCP etc).

Minimum Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proven experience as an AI Engineer, Data Scientist, or in a similar role for minimum 3 years
Strong programming skills in Python + GCP ML services
Experience with LLM/Generative AI implementation
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Understanding of RAG (Retrieval Augmented Generation) and vector databases
Excellent problem-solving and analytical skills.
Good communication skills and the ability to work in a collaborative environment.
Experience in developing AI solutions for consumer products or e-commerce industry is an advantage.
Experience in data analytics using AI/ML, including dashboards, automated data pipelines, and ML-based decision support.