GenAI Developer – Credit Risk and Fraud Platform (Banking)

Madiff·Remote(United States)
AI & Machine Learning

WFA Digital Insight

The demand for skilled GenAI developers is skyrocketing, with a 25% increase in openings over the past year. As companies like Madiff invest in cutting-edge decision intelligence platforms, professionals with expertise in machine learning, large-scale data processing, and GenAI orchestration are in high demand. With the growth of regulated environments, having hands-on experience in secure API development and knowledge of RAG architectures is crucial. Before applying, candidates should be prepared to showcase their skills in building and scaling GenAI services, as well as their understanding of the complexities of high-volume, regulated decision environments. Madiff's commitment to innovation and its multinational environment make this role an attractive opportunity for those looking to make an impact in the digital landscape.

Job Description

About the Role

The GenAI Developer role at Madiff is a crucial part of the company's production-critical decision intelligence platform within the banking domain. This platform combines machine learning, large-scale data processing, and agent-based GenAI orchestration to generate decision support, explanations, and structured outputs consumed by lending engines, fraud systems, and internal risk teams. As a key member of the team, the successful candidate will be responsible for building and scaling GenAI services that operate directly in credit risk and fraud prevention workflows, supporting high-volume, regulated decision environments.

The role is based on a remote work model, allowing the candidate to work from anywhere in the United States. The company operates under strict security, performance, and regulatory constraints, requiring the highest level of expertise and attention to detail. With a strong focus on innovation and customer satisfaction, Madiff is an attractive employer for those looking to make a real impact in the digital landscape.

What You Will Do

  • Design and implement LangChain and LangGraph-based agent workflows
  • Build Python services exposing GenAI capabilities via secure APIs
  • Integrate LLMs with ML model outputs and structured enterprise data
  • Develop RAG pipelines and vector-based retrieval mechanisms
  • Implement guardrails, validation layers, and evaluation logic for regulated outputs
  • Collaborate with ML engineers and data scientists on end-to-end workflows
  • Support deployment, monitoring, and optimization in production environments
  • Ensure explainability, traceability, and reliability of GenAI outputs
  • Participate in code reviews and contribute to the improvement of the overall codebase
  • Engage in knowledge-sharing activities to enhance the team's expertise

What We Are Looking For

  • Strong hands-on Python experience in backend or AI-driven systems
  • Commercial experience building LLM-based or GenAI solutions
  • Practical knowledge of LangChain and LangGraph
  • Experience with FastAPI or Flask and REST API design
  • Understanding of RAG architectures and vector databases
  • Experience with prompt engineering and agent design patterns
  • Knowledge of secure API development practices
  • Ability to work in regulated, high-availability environments
  • Fluent English for professional collaboration

Nice to Have

  • Experience in banking, credit risk, or fraud prevention domains
  • Exposure to ML model integration in production systems
  • Experience with monitoring and evaluation frameworks for LLMs
  • Background in distributed or microservices architectures

Benefits and Perks

  • Solid, competitive salary
  • Work in a multinational environment on international projects
  • Comprehensive healthcare
  • Long-term B2B contract with a stable project pipeline
  • Remote work model
  • Opportunities for professional growth and development
  • Access to cutting-edge technologies and tools
  • Collaborative and dynamic work environment

How to Stand Out

  • Familiarize yourself with the latest developments in GenAI, machine learning, and large-scale data processing to stand out as a candidate.
  • Develop a strong portfolio showcasing your experience in building and scaling GenAI services, as well as your understanding of regulated environments.
  • Be prepared to provide specific examples of your experience with secure API development, RAG architectures, and vector databases.
  • Highlight your ability to work effectively in a remote environment and collaborate with cross-functional teams.
  • Prepare to discuss your understanding of the complexities of high-volume, regulated decision environments and how you would approach these challenges.
  • Research the company's products and services to demonstrate your interest in the role and the industry.
  • Be prepared to negotiate your salary based on your experience and the market rate for similar positions.

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