What are the responsibilities and job description for the Generative AI Software Engineer position at Madison-Davis, LLC?
Join a greenfield AI initiative fueling one of the world’s largest financial platforms.
We’re looking for engineers to help build next-generation GenAI applications — from intelligent copilots to enterprise-wide knowledge systems — all using cutting-edge LLMs and secure cloud infrastructure. You’ll work on high-impact systems used by thousands globally.
What You’ll Build:
- AI-powered assistants and internal tools using GPT-4 and retrieval-augmented generation (RAG)
- Scalable APIs and microservices for AI interaction
- NLP pipelines that connect structured unstructured enterprise data
- Secure integrations into a world-class cloud architecture
What You Bring:
- 4 years of engineering experience with at least 2 years building AI/ML or NLP-based systems
- Strong Python skills (FastAPI, Flask), and experience with OpenAI APIs or Hugging Face
- Familiarity with vector databases, embeddings, and semantic search
- Exposure to Azure/AWS/GCP, Docker, Kubernetes
- Bonus: experience working in highly regulated industries
Why Join:
- Enterprise-grade infrastructure, early-stage AI projects
- Work directly on systems that impact millions of users
- Long-term stability with room for growth
- Hybrid work model with major hub support