Metadrob

Position: Senior Backend Developer

Type: Full-Time Location: Onsite

Experience Level: 5+ years (Intermediate to Senior)

About the Role: We are looking for a highly skilled Senior Backend Developer with 5+ years of experience to work alongside our AI/ML and frontend teams in building an AI-driven customer support system. You will be responsible for designing, developing, and optimizing the backend architecture, ensuring seamless integration with AI models, real-time data processing, and third-party tools. This role requires expertise in scalable API development, database management, and cloud deployment while ensuring high performance and security.

Key Responsibilities:

Backend Development & Architecture:

● Design and develop a scalable, high-performance backend to support AI-driven customer interactions.

● Build and optimize RESTful APIs and GraphQL endpoints for real-time voice and text processing.

● Develop microservices-based architectures to ensure modularity and scalability.

● Implement authentication & authorization mechanisms (OAuth, JWT, Role-Based Access Control).

AI & API Integration:

● Integrate AI models for speech recognition, sentiment analysis, and conversational AI.

● Ensure smooth data exchange between AI/ML models and frontend applications.

● Work with third-party tools such as Twilio, AWS Connect, and CRM systems for seamless interaction.

● Optimize API response times for real-time customer interactions with low latency.

Database Management & Data Processing:

● Design and manage relational (SQL) and NoSQL databases for AI model training and customer data.

● Implement efficient data pipelines for processing large datasets and real-time analytics.

● Ensure data consistency, integrity, and compliance with security standards.

Deployment, Security & Performance Optimization:

● Deploy scalable backend solutions on cloud platforms like AWS, GCP, or Azure.

● Implement CI/CD pipelines for smooth deployment and version control.

● Optimize database queries, API endpoints, and caching mechanisms for maximum performance.

● Implement security best practices (encryption, rate limiting, and logging).

Collaboration & Ownership:

● Work closely with AI/ML engineers and frontend developers to ensure seamless integration.

● Take ownership of backend architecture and propose enhancements for scalability.

● Stay updated with the latest backend technologies, AI integration techniques, and cloud advancements.

Required Skills and Qualifications:

Education:

● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Core Skills:

● Proficiency in backend programming languages (Python, Node.js, or Golang).

● Experience with machine learning libraries and AI model integration (TensorFlow, PyTorch).

● Expertise in RESTful API and GraphQL development for AI-driven applications.

● Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).

● Experience with microservices architecture and containerization (Docker, Kubernetes).

● Strong knowledge of cloud services (AWS Lambda, EC2, S3, GCP Functions, Firebase).

● Familiarity with event-driven architectures (Kafka, RabbitMQ, AWS SQS).

● Experience in implementing caching strategies (Redis, Memcached).

● Understanding of DevOps and CI/CD pipelines (GitHub Actions, Jenkins).

Preferred Experience:

● Previous experience working with AI-powered applications or conversational AI APIs.

● Familiarity with WebSockets and real-time communication protocols.

● Experience with serverless computing and cloud-native solutions.

● Strong understanding of distributed systems and large-scale architectures.

● Experience 3rd party API integrating (like Twilio, Vonage, or AWS Connect).

Soft Skills:

● Strong problem-solving and analytical skills.

● Excellent communication and collaboration with cross-functional teams.

● Proactive mindset with a focus on scalability and system optimization.