Description
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