Credit Genie is looking to integrate AI solutions into its core products to drive innovation and deliver significant business impact. They need backend engineers to build and scale the systems that support these AI initiatives.
Requirements
- Strong foundations in multiple programming languages (Python, Java, TypeScript, etc.).
- Hands-on experience with cloud platforms (AWS, GCP, or Azure).
- Experienced at designing and implementing distributed, production-grade systems.
- Comfortable with system design, APIs, version control, Infrastructure as Code, and testing.
- Prior exposure with Machine Learning and AI concepts, tools, or frameworks (e.g., LLMs, vector databases, specialized model serving).
- Familiarity with Data Engineering or working with large-scale datasets.
- Knowledge of AWS CDK and Terraform.
Responsibilities
- Lead the design and implementation of highly available, scalable backend services and APIs that serve and integrate our AI models and applications into production systems.
- Architect and optimize the services and data pipelines essential for deploying, monitoring, and maintaining real-time AI inferencing and retrieval at scale.
- Collaborate with AI and ML Engineers to improve model deployment, monitoring, and experimentation workflows (MLOps/AIOps).
- Drive technical excellence, setting high standards for code quality, system reliability, and performance.
- Mentor and guide other engineers on best practices for building robust backend systems in an AI-focused environment.
- Have fun working on hard and highly impactful problems.
Other
- A Software Engineer with 5+ years of industry experience.
- Curious, motivated, and eager to expand into AI/ML.
- Collaborative and excited by fast-moving, problem-solving environments.
- The expectation is that employees are in the office five days a week.
- Flexible PTO
