- Location
- US
- Type
- Contract
- Department
- Engineering
- Source
- Breezy HR
Description
Exp: 14+ Years
Must Have:
* Strong background within Machine Learning
o Everything withing AI starts here
* 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.
o Pytorch
o Langchain
o Core AI Tools
* Document Extraction Experience and comfortable enhancing the model to produce better extraction
* RAG experience is a MUST
* Agentic Workflows Exp
o Ability to orchestrate workflows of a system. Someone who has applied their knowledge into apply agentc 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
o Someone who has applied knowledge into how EFFECTIVELY they can apply agentic workflows
o Must have professional experience working with a LIVE system, opposed to someone doing this recreationally
* Financial Services is a HUGE plus
Plus:
* Engineering Exp front to back
o Build workflows, examine systems, suggest solutions to it using data flows and gen AI, etc
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)
D2D;
* 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.
Misc:
* 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
o Need this candidate to bring knowledge of how to chain workflows and how to enhance extractions
* Stakeholders
o Strats (heavy math background) + Operations Users + Business Users
* Current Volume of Documents: Lending volume is Massive
o Docs can go from 1 page to 300+ pages (PDFs)
Redflags:
* Developer who simply is using AI
Ideal Candidate:
* 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
