Description

You will design and implement generative AI systems and scalable data pipelines to support end-to-end product functionality.

This role is hybrid.

Responsibilities

• Design generative AI systems using multi-agent workflows, LLM orchestration patterns, and enterprise API integrations.
• Build scalable AI data pipelines for ingestion, cleaning, normalization, and structured storage.
• Train, test, and deploy machine learning models alongside low-latency inference pipelines for real-time and batch processing.
• Develop backend services, APIs, microservices, and AI-powered interfaces.
• Optimize production AI systems via performance monitoring, autoscaling, and reliability improvements.

Required Skills

• 5+ years of experience building production AI systems and GenAI/LLM-powered applications.
• Hands-on proficiency in designing agentic AI architectures and LLM orchestration workflows.
• Experience with MCP integrations.
• Ability to develop backend services, APIs, and AI-powered interfaces.
• Experience building and managing scalable AI data pipelines.
• Proven track record of training, deploying, and optimizing machine learning models.

Preferred Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Key Skills

Education

Any Graduate