Description

Lead the architecture and deployment of advanced Generative AI solutions for enterprise ecosystems.

Responsibilities

• Design and implement scalable AI solutions using LangChain and Microsoft AutoGen.
• Develop multi-agent orchestration systems with advanced agent memory and reasoning capabilities.
• Architect and deploy robust pipelines on AWS, Azure, or GCP to support high-scale LLM integration.
• Optimize Large Language Model performance through expert prompt engineering, RAG implementation, and hyperparameter tuning.
• Collaborate with cross-functional teams to integrate AI into existing digital products.

Required Skills

• 12+ years of overall experience in Software Engineering and Data Science.
• Expert proficiency in Python programming and backend integration.
• Deep expertise in Large Language Models (GPT-4, Claude 3.5, Llama 3).
• Proven experience with orchestration tools and agentic frameworks (LangChain, LlamaIndex, AutoGen).
• Strong foundation in the Artificial Intelligence and machine learning life cycles.
• Hands-on experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Cloud platform expertise in at least one of: AWS, Microsoft Azure, or Google Cloud Platform (GCP).

Preferred Skills

• Experience with Vector Databases (e.g., Pinecone, Milvus, or Weaviate).
• Knowledge of MLOps for automating model deployments.
• Relevant industry certifications in Artificial Intelligence or Cloud Architecture.

Key Skills

Education

Any Graduate