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Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Play a pivotal role in integrating AI solutions into our core products, driving innovation, and delivering significant business impact. We're looking for engineers to lead the design, development, and deployment of backend systems and APIs that support our AI initiatives. You'll focus on the infrastructure and services required to deploy, monitor, and scale intelligent applications and models that drive decisions across the company.
Job Responsibility:
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
Requirements:
A Software Engineer with 5+ years of industry experience
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
Curious, motivated, and eager to expand into AI/ML
Collaborative and excited by fast-moving, problem-solving environments
Nice to have:
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
Experience with ML development environments like Jupyter Notebooks
Contributions to open-source projects, personal AI/ML projects, or participation in hackathons/competitions
What we offer:
Offers Equity
Offers Bonus
Comprehensive medical, vision, and dental coverage
401(k) retirement plan with company match
Short & long term disability insurance
Life insurance
Flexible PTO
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment
Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox