
Building Intelligent Systems
3 days ago
We're seeking a highly skilled and motivated AI Engineer to join our team. As a key member, you'll have the opportunity to work on cutting-edge AI technology that powers our intelligent credit risk and collections systems.
The ideal candidate will have a strong passion for building production-grade AI solutions using state-of-the-art LLM-based agentic workflows and conventional machine learning techniques.
This role is perfect for someone who enjoys working with a range of tools and technologies, including Python, LangGraph, LangChain, Pydantic AI, and scikit-learn.
Key Responsibilities:- Developing AI models that blend LLMs with conventional machine learning to power next-generation credit-risk, early-warning, and digital collections capabilities.
- Collaborating with cross-functional teams to design and implement AI-powered features that drive real-world impact.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field (Master's or Ph.D. a plus).
- At least 3 years of experience building ML/AI solutions, including hands-on work with LLMs or Generative AI in production.
- Experience in financial services, credit risk, or banking is a plus.
- Experience with CI/CD and observability using Git-based automation and monitoring tools like Prometheus, Grafana, or OpenTelemetry.
- Familiarity with cloud-native development on AWS, Azure, or GCP, including containerized deployment with Docker/Kubernetes.
- Curious and inventive spirit; motivated to explore emerging techniques and translate ideas into working systems.
- Excellent command of the English language (both verbal and written); clear communicator able to convey complex models into business value for non-technical stakeholders.
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