Gen AI Engineer

Responsibilities

• Manage GenAI models production pipelines to debug defects and provide root cause assessments.
• Build and orchestrate LLM‐based workflows using frameworks such as LangChain, including prompt engineering and pipeline design.
• Implement Retrieval‐Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval.
• Work with document ingestion and extraction workflows, including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAI‐based extraction techniques.
• Collaborate with cross‐functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria.
• Communicate findings and insights effectively to both technical and non‐technical audiences through visualizations, reports, and presentations.
• Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics.
• Mentor junior team members and contribute to a culture of continuous learning and technical excellence.
• - Manage GenAI models production pipelines to debug defects and provide root cause assessments. - Build and orchestrate LLM‐based workflows using frameworks such as LangChain, including prompt engineering and pipeline design. - Implement Retrieval‐Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval. - Work with document ingestion and extraction workflows, including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAI‐based extraction techniques. - Collaborate with cross‐functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria. - Communicate findings and insights effectively to both technical and non‐technical audiences through visualizations, reports, and presentations. - Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics. - Mentor junior team members and contribute to a culture of continuous learning and technical excellence.