AI Engineer
Job Summary
Key Responsibilities
Backend Development & Architecture
Design develop and maintain scalable backend services APIs and data models using Python and Fast API.
Build secure reliable and high-performance systems that support core business operations.
Contribute to system architecture technical design and technology decisions.
Review code and maintain high standards for software quality maintainability and performance.
AI & Automation
Develop deploy and operate AI-powered agents workflows and automation solutions.
Build and enhance applications leveraging Large Language Models (LLMs) tool/function calling retrieval systems and agent-based architectures.
Evaluate and implement emerging AI technologies to improve operational efficiency and product capabilities.
Payments & Integrations
Design and maintain payment and billing functionality including collection disbursement and transaction workflows.
Develop and support integrations with third-party platforms and APIs.
Ensure reliability security and compliance across payment and financial operations.
Workflow Orchestration & Operations
Build manage and optimize background jobs workflow automation and asynchronous processing systems.
Monitor production environments troubleshoot issues and provide ongoing operational support.
Improve system observability reliability scalability and performance.
End-to-End Feature Ownership
Own features throughout their lifecycle from requirements gathering and technical design through implementation testing deployment and production support.
Collaborate with cross-functional stakeholders to define solutions for complex business problems.
Drive continuous improvement through proactive problem-solving and technical innovation.
Required Qualifications
3 - 4 Years experience building deploying and supporting production backend systems.
Strong proficiency in Python and modern backend frameworks such as FastAPI.
Experience designing and building RESTful APIs and working with relational databases.
Hands-on experience integrating third-party APIs and external platforms.
Practical experience building applications utilizing LLMs AI agents retrieval systems or related AI technologies.
Strong understanding of software testing quality assurance and engineering best practices.
Demonstrated ownership mindset with the ability to drive projects from concept to production independently.
Excellent communication problem-solving and collaboration skills.
Preferred Qualifications
Experience with payment processing platforms and financial technology integrations.
Experience building and scaling multi-tenant SaaS applications.
Experience deploying monitoring and operating AI-powered solutions in production environments.
Familiarity with workflow orchestration and distributed system architectures.
Experience designing secure scalable and highly available cloud-native services.