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Job Description: Important Skill-Set, Technologies, Certifications, and Methodologies: Models: GPT-4 , Claude 3.5 , Llama 3 . Frameworks: LangChain , Microsoft AutoGen , LlamaIndex . Cloud: Amazon Web Services (AWS) , Microsoft Azure , Google Cloud Platform (GCP) . Methodologies: Prompt Engineering , Retrieval-Augmented Generation (RAG) , Agentic Orchestration , Fine-tuning . About the Role: We are seeking a seasoned Principal AI Engineer to lead the architecture and deployment of advanced Generative Artificial Intelligence solutions. You will be responsible for building sophisticated AI agents and integrating high-scale Large Language Models into enterprise ecosystems to solve complex business challenges. Key Responsibilities: Design and implement scalable AI solutions using frameworks like LangChain and AutoGen . 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 Cloud Platforms ( AWS , Azure , or GCP ) to support AI model deployment. Collaborate with cross-functional teams to integrate Artificial Intelligence into existing digital products. Essential 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 and Claude . Proven experience with Orchestration Tools and Agentic Frameworks . Strong foundation in Digital: Artificial Intelligence and machine learning life cycles. Desirable Skills: Experience with Vector Databases (e.g., Pinecone, Milvus, or Weaviate). Knowledge of MLOps (Machine Learning Operations) for automating model deployments. Relevant industry certifications in Artificial Intelligence or Cloud Architecture . Keywords in your resume: Artificial Intelligence (AI) , Generative AI , Large Language Models (LLM) , GPT , Claude , LangChain , AutoGen , Python , AWS , Azure , GCP , Prompt Engineering , Agent Memory , Orchestration , RAG , Machine Learning , Principal Engineer .
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