Description

You design and implement enterprise-grade Generative AI solutions, owning the architecture from model selection to deployment.

This role is on-site.

Responsibilities

• Architect LLM-based systems including RAG pipelines, AI agents, and orchestration layers.
• Design data ingestion pipelines and integrate vector databases for knowledge retrieval.
• Implement prompt management, tool integrations, and AI security governance.
• Build scalable API and microservices architectures for AI platform delivery.
• Collaborate on MLOps and AI platform engineering to ensure reliable deployment.

Required Skills

• 5+ years of experience in AI/ML engineering or architecture.
• Deep expertise in Large Language Models (LLMs) and transformer-based foundation models.
• Strong proficiency in Python and Data Engineering principles.
• Hands-on experience with RAG architecture and vector databases.
• Familiarity with orchestration frameworks like LangChain or LlamaIndex.
• Experience with Cloud AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI).
• Bachelor's degree in Computer Science or related field.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree