Shape the future of AI-driven fintech by leading the design and implementation of scalable Generative AI systems. In this role, you'll architect end-to-end pipelines that leverage large language models to process complex data and deliver contextually relevant results across client-facing products.
What You’ll Do
- Design and maintain robust Generative AI workflows using LLMs, from data ingestion through to generation and deployment
- Integrate both open-source and proprietary models—including GPT and LLaMA—using APIs and custom orchestration layers
- Build and refine Retrieval-Augmented Generation (RAG) systems to enhance prompt relevance with contextual data
- Develop evaluation frameworks that combine embedding-based similarity, scoring metrics, and human feedback to assess output quality
- Implement monitoring and logging solutions to ensure reliability and observability in production environments
- Collaborate with cross-functional teams to embed generative capabilities into live applications
What We’re Looking For
- Proven experience in machine learning with a focus on production-level systems
- Hands-on work across the full ML lifecycle: retrieval, generation, evaluation, and deployment
- Strong technical fluency with tools like LangChain and architectures such as RAG
- Ability to thrive in a fast-moving, autonomous environment where ownership and innovation are central
Environment & Culture
This is a fully remote role with team members across the U.S., offering long-term flexibility and autonomy. You’ll work within a high-performing, collaborative culture that values initiative, technical excellence, and meaningful impact. Regular video meetings and digital collaboration via Slack keep the team connected. Occasional in-person gatherings provide opportunities to strengthen relationships and align on vision.
The organization emphasizes ownership, continuous learning, and direct contribution—your ideas won’t just be heard, they’ll be acted on.
