Job Description

Roles & Responsibilities

• Design, develop, and deploy sophisticated conversational AI experiences leveraging LLMs, ensuring seamless user interaction and accurate responses.
• Implement and optimize Retrieval Augmented Generation (RAG) pipelines to enhance LLM knowledge bases with domain-specific information and real-time data.
• Build and manage AI agents capable of complex task execution, decision-making, and autonomous operation within defined parameters.
• Fine-tune and adapt pre-trained large language models for specific conversational AI applications, optimizing for performance, relevance, and safety.

Desired Candidate Profile

• Strong foundational AI/ML concepts
• RAG (Retrieval Augmented Generation) architectures
• Embeddings & vector search
• Data/document ingestion strategies
• Agent & Agentic AI design patterns
• Orchestrator-based multi-agent systems
• Agent registry & A2A (Agent-to-Agent) protocol
• Conversational AI development
• Journey/goal mapping and intent routing

Job Description

Roles & Responsibilities

• Design, develop, and deploy sophisticated conversational AI experiences leveraging LLMs, ensuring seamless user interaction and accurate responses.
• Implement and optimize Retrieval Augmented Generation (RAG) pipelines to enhance LLM knowledge bases with domain-specific information and real-time data.
• Build and manage AI agents capable of complex task execution, decision-making, and autonomous operation within defined parameters.
• Fine-tune and adapt pre-trained large language models for specific conversational AI applications, optimizing for performance, relevance, and safety.

Desired Candidate Profile

• Strong foundational AI/ML concepts
• RAG (Retrieval Augmented Generation) architectures
• Embeddings & vector search
• Data/document ingestion strategies
• Agent & Agentic AI design patterns
• Orchestrator-based multi-agent systems
• Agent registry & A2A (Agent-to-Agent) protocol
• Conversational AI development
• Journey/goal mapping and intent routing