Description

Design and deploy custom AI agents, intelligent automation solutions, and generative AI workflows using Google Gemini Enterprise and cloud platforms.

This role is on-site.

Responsibilities

• Build and implement AI/ML models and generative AI workflows for enterprise data analytics and decision-making systems.
• Develop scalable data pipelines integrating structured and unstructured data from enterprise systems.
• Implement AI model orchestration, prompt engineering, and agent-based architectures for real-world business use cases.
• Optimize AI models and pipelines for performance, scalability, security, and responsible AI governance.
• Document system architecture, AI model design, and deployment processes in accordance with enterprise and regulatory standards.

Required Skills

• 5+ years of experience in Computer Science, AI, Data Science, or Software Engineering.
• Strong programming proficiency in Python or Java.
• Experience with AI frameworks such as TensorFlow, PyTorch, or LangChain.
• Hands-on experience with cloud platforms: Google Cloud (Vertex AI, BigQuery), AWS, or Azure.
• Proven track record of developing machine learning models or AI-driven applications.
• Experience building data processing pipelines and distributed data systems.
• Strong understanding of API development, microservices architecture, and cloud-native design.

Preferred Skills

• Experience implementing Generative AI solutions using Google Gemini Enterprise or similar LLM platforms.
• Familiarity with data analytics platforms like BigQuery, Looker, or modern data warehouses.
• Knowledge of agent-based AI architectures, prompt engineering, and retrieval-augmented generation (RAG).

Key Skills

Education

Bachelor's degree