Applied AI Engineer
Delan Associates Inc
Machine Learning Expert
Exp: 14+ Years
Must Have:
- Strong background within machine learning
- Everything within 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)
- Pytorch
- Langchain
- Core AI tools
- Document extraction experience and comfortable enhancing the model to produce better extraction
- RAG experience is a must
- Agentic workflows experience
- Ability to orchestrate workflows of a system. Someone who has applied their knowledge into applying 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
Plus:
- Engineering experience front to back
- 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
- 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)
Redflags:
- 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
Ideal Candidate:
Vacancy posted 3 days ago
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