ABOUT US:

Welcome to Articul8 AI, where innovation meets passion and excellence is our North Star. We’re a trailblazing team of visionary thinkers, driven by a relentless pursuit of perfection and a desire to revolutionize the AI landscape. With a customer-obsessed mindset, we craft cutting-edge products that shatter expectations and push the boundaries of what’s possible. At Articul8 AI, we’re not just building a business - we’re on a mission to empower, inspire, and make a lasting impact on the world, one innovation at a time.

JOB DESCRIPTION:

Articul8 AI is seeking a Principal Software Engineer (Backend) specializing in Python APIs to join our team and contribute to the development of robust, scalable backend services for our enterprise GenAI platform. If you have a proven track record of building scalable, cloud-based systems from the ground up, then this is the role for you!

Responsibilities:

• Design, develop, and maintain high-performance, scalable RESTful and GraphQL APIs using Python.
• Collaborate with AI/ML engineers, data scientists, and frontend developers to build and integrate AI/ML features into the platform.
• Optimize backend services for performance, reliability, and scalability in cloud and on-premises environments.
• Implement secure, efficient data handling and processing pipelines for AI/ML workflows.
• Write clean, maintainable, and well-documented code, following best practices in software engineering.
• Troubleshoot, debug, and resolve technical issues in production and development environments.
• Participate in code reviews, architecture discussions, and technical design sessions.
• Ensure API security, compliance, and performance standards are met.
• Mentor and develop engineers, help define and grow the technical culture, and assist in attracting and retaining engineering talent
• Rotating responsibilities for on-call when required

REQUIRED QUALIFICATIONS:

Education Experience: Bachelor’s degree in Computer science, Computer Engineering, or relevant technical field, or equivalent practical experience.
Professional Experience: A proven track record as a technical leader in developing scalable, maintainable, and high-performance applications. 8+ years of professional experience in backend development with Python/Java.

CORE TECHNICAL SKILLS:

• Strong proficiency in building RESTful and GraphQL APIs using frameworks like FastAPI, Flask, or Django.
• Solid understanding of API design principles, authentication, and authorization mechanisms (OAuth, JWT).
• Experience with relational and NoSQL databases (PostgreSQL, GraphDB, VectorDB etc.).
• Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Knowledge of software development best practices, including version control (Git), CI/CD pipelines, and automated testing.
• Experience with AI/ML model integration, data pipelines, and MLOps workflows.
• Knowledge of message brokers and event-driven architectures (Kafka, RabbitMQ).
• Background in microservices architecture and distributed systems.
• Familiarity with feature flagging technologies and multi-tenant SaaS environments.
• Strong problem-solving skills and attention to detail.

• Design, develop, and maintain high-performance, scalable RESTful and GraphQL APIs using Python.
• Collaborate with AI/ML engineers, data scientists, and frontend developers to build and integrate AI/ML features into the platform.
• Optimize backend services for performance, reliability, and scalability in cloud and on-premises environments.
• Implement secure, efficient data handling and processing pipelines for AI/ML workflows.
• Write clean, maintainable, and well-documented code, following best practices in software engineering.
• Troubleshoot, debug, and resolve technical issues in production and development environments.
• Participate in code reviews, architecture discussions, and technical design sessions.
• Ensure API security, compliance, and performance standards are met.
• Mentor and develop engineers, help define and grow the technical culture, and assist in attracting and retaining engineering talent
• Rotating responsibilities for on-call when require