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RedisPosition: 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.
Subodh Popalwar
Software Engineer, Memorres
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Software Engineer, Memorres