Lead Software Engineer

We are a startup on a mission to redefine social media through innovative technology. Our platform leverages cutting-edge AI to offer personalized experiences, real-time engagement, and intelligent content recommendations. We are seeking a Lead Software Engineer to join our team and spearhead the technological advancement of the firm through software engineering best practices. You will be responsible for designing, developing, and maintaining end-to-end applications that integrate AI/ML models seamlessly into backend systems and frontend interfaces. You will work closely with data scientists, ML engineers, and product teams to ensure that our AI/ML-powered applications deliver exceptional user experiences and robust performance.

Key Responsibilities

• Develop and maintain backend systems to support AI/ML models, ensuring scalability, performance, and security.
• Build frontend applications using modern frameworks, emphasizing intuitive design and usability.
• Integrate AI/ML models into backend services and expose functionality via APIs for frontend consumption.
• Design and implement microservices architecture for modular and scalable deployments.
• Collaborate with data scientists to deploy and optimize AI/ML models for production environments.
• Create and manage APIs for seamless data exchange between systems.
• Implement CI/CD pipelines to streamline development and deployment processes.
• Optimize system performance and troubleshoot issues across the stack.
• Leverage AWS cloud services (e.g., EC2, Lambda, S3, SageMaker) for application deployment and scalability.

Qualifications / Requirements:

Full Stack Development:

Frontend:

• Proficiency in modern frontend frameworks like React.js, Angular, or Vue.js.
• Strong knowledge of HTML, CSS, JavaScript/TypeScript.
• Understanding of UI/UX principles and ability to create user-friendly interfaces. Backend:
• Extensive experience with backend frameworks like Node.js, Django, Flask, or Spring Boot.
• Expertise in RESTful APIs and/or GraphQL.
• Strong understanding of databases (e.g., PostgreSQL, MySQL, MongoDB). API Integration:
• Proven experience integrating third-party APIs and creating custom APIs for ML models.

AI/ML Model Integration:

• Experience deploying AI/ML models in production environments.
• Knowledge of ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Ability to manage data flow between models and frontend systems.

Cloud and Infrastructure:

• Experience with AWS services (e.g., EC2, Lambda, S3, SageMaker) for application hosting and scalability.
• Familiarity with microservices architecture and containerization tools (e.g., Docker, Kubernetes).

Programming Languages:

• Proficiency in Python for backend and AI/ML integration.
• Familiarity with JavaScript/TypeScript for frontend development.
• Knowledge of Java, C#, or other backend languages is a plus.

DevOps and Deployment:

• Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions).
• Experience with monitoring tools (e.g., Prometheus, Grafana).

Preferred Skills:

• Experience with real-time data systems and event-driven architectures (e.g., Kafka, AWS Kinesis).
• Knowledge of AutoML tools and hyperparameter tuning.
• Familiarity with security best practices for web and backend applications.
• Experience with serverless computing frameworks.

Benefits:

• Founder equity options.
• The opportunity to shape the operational backbone of a revolutionary product from the ground up.
• A vibrant, growth-oriented culture that values innovation and collaboration.

Join us if you are ready to challenge conventions, inspire others, and make your mark on the future.