GenAI Engineer

We are looking for a talented GenAI Engineer to design, develop, and deploy sophisticated Generative AI solutions. You will be responsible for building scalable production pipelines and leveraging Large Language Models to solve complex business challenges.

Our client is a leading global computer software organization known for driving digital transformation through advanced technology solutions. They foster a culture of innovation and continuous learning, providing a collaborative environment for technical professionals to work on high-impact enterprise projects.

Responsibilities

• Architect and implement scalable Production LLM Pipelines to support enterprise-grade applications.
• Design and optimize RAG (Retrieval-Augmented Generation) architectures to enhance model accuracy and context relevance.
• Develop sophisticated Prompt Engineering strategies to improve output quality across various use cases.
• Build automated Document Processing & Extraction workflows to streamline data ingestion and analysis.
• Collaborate with cross-functional teams to integrate AI capabilities into existing software ecosystems.
• Manage the full lifecycle of AI model deployment in production environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Proven expertise in Generative AI and LLMs with a focus on real-world application.
• Strong proficiency in LangChain for building complex AI-driven workflows.
• Hands-on experience with AWS cloud infrastructure for hosting and scaling AI models.
• Experience with vector databases such as Pinecone, Milvus, or Weaviate.
• Familiarity with fine-tuning open-source models like Llama or Mistral.
• Solid background in Python development and MLOps best practices.

Skills

Generative AI, LLMs, LangChain, AWS, Production LLM Pipelines, RAG Architectures, Prompt Engineering, Document Processing & Extraction, Pinecone, Milvus, Weaviate, Llama, Mistral, Python, MLOps