[Remote] Applied AI Engineer

Note The job is a remote job and is open to candidates in USA. Company Confidential is looking for an Applied AI Engineer to contribute to their AI platform development. The role involves designing and evolving AI workflows for the Lending business, developing document ingestion capabilities, and providing expert advice on GenAI architecture. Responsibilities Design and evolve reusable GenAI workflows used across Lending business lines Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review Build AI-powered assistants embedded in Lending systems using agentic workflows Deliver automated content and deck generation workflows for reporting and approvals Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy Establish LLMOps practices extraction accuracy, assistant reliability, prompts management, and audit monitoring Design and implement controls for entitlements, PII handling within open-source models in a regulated environment In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending Skills Strong background within Machine Learning Strong within Python (NOT looking for a software developer who has learned how to use models. Instead, looking for a core math background, machine learning, data model extraction and/or trading models.) Pytorch Company Confidential Core AI Tools Document Extraction Experience and comfortable enhancing the model to produce better extraction RAG experience is a MUST Agentic Workflows Exp Ability to orchestrate workflows of a system. Someone who has applied their knowledge into apply agentic workflows - move through steps from beginning to end. Do transformation on it and produce a result Llm OPS NOT LOOKING FOR A SOFTWARE DEV WHO learned how to use models Building production systems and not just trying to learn something Someone who has applied knowledge into how EFFECTIVELY they can apply agentic workflows Must have professional experience working with a LIVE system, opposed to someone doing this recreationally Financial Services is a HUGE plus Design and evolve reusable GenAI workflows used across Lending business lines Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review Build AI-powered assistants embedded in Lending systems using agentic workflows Deliver automated content and deck generation workflows for reporting and approvals Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy Establish LLMOps practices extraction accuracy, assistant reliability, prompts management, and audit monitoring Design and implement controls for entitlements, PII handling within open-source models in a regulated environment In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending They do not have this type of candidate on team today - they need this candidate to come in and be a SME on the team and be confident enough to bring their own two sense into the role AI Platform is being built from scratch Need this candidate to bring knowledge of how to chain workflows and how to enhance extractions Stakeholders Strats (heavy math background) + Operations Users + Business Users Current Volume of Documents Lending volume is Massive. Docs can go from 1 page to 300+ pages (PDFs) Developer who simply is using AI Applied AI SME - how can come in and say 'THIS is how it needs to be done, this is what I will need to do it, this is my timeline, etc.' Practitioner is someone who not just someone giving out straight answer Engineering Exp front to back Fixed Income or Institutional Lending domain experience Experience working in regulated environments with strong audit and control requirements Familiarity with enterprise security, data governance, and entitlement models Experience designing reusable internal platforms or shared developer tooling Frontend experience is beneficial (Angular or React) Company Overview It was founded in 2002, and is headquartered in Freeport, New York, USA, with a workforce of 51-200 employees. Its website is http// Apply To This Job

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