Description

You will lead the architecture and deployment of advanced Generative AI solutions, integrating high-scale Large Language Models into enterprise ecosystems.

This role is on-site.

Responsibilities

• Design and implement scalable AI solutions using LangChain, Microsoft AutoGen, and LlamaIndex.
• Develop multi-agent orchestration systems with advanced Agent Memory and reasoning capabilities.
• Optimize Large Language Model performance through expert Prompt Engineering and hyperparameter tuning.
• Architect robust pipelines on AWS, Azure, or GCP to support AI model deployment and MLOps.
• Collaborate with cross-functional teams to integrate Artificial Intelligence 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 (LLM) such as GPT-4, Claude 3.5, and Llama 3.
• Proven experience with Orchestration Tools and Agentic Frameworks.
• Strong foundation in Generative AI and machine learning life cycles.
• Hands-on experience with Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic Orchestration.
• Cloud platform proficiency in Amazon Web Services (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