AI Engineer (Generative AI & LLM)
Cloud Analytics Technologies LLC
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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