On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Django
Amazon Web Services (AWS)
DevOps
MongoDB
Docker Products
About the Role
Senior Backend Developer - Conversational AI and Generative AI Platform (5+ Years of Experience)
About Gnani.ai Gnani.ai is a leading Conversational AI platform specializing in Natural Language Processing (NLP), Speech AI, and Generative AI technology. Our platform empowers businesses to create customer-centric omnichannel automation suites with proprietary products for real-time authentication, automation, agent assist, and analytics. Join us to shape the future of secure, efficient communication through groundbreaking AI solutions.
About the Role We seek a Senior Backend Developer with 5+ years of experience to lead the development of our Conversational AI and Generative AI platforms. In this role, you will architect scalable backend systems, drive technical strategy, and mentor junior engineers. You will collaborate with cross-functional teams to deliver high-performance solutions that push the boundaries of AI-driven automation.
Responsibilities
· Lead the design, development, and deployment of robust backend services and APIs for enterprise-scale AI platforms.
· Architect scalable, fault-tolerant systems leveraging cloud-native technologies (AWS/GCP/Azure) and microservices.
· Mentor junior engineers, conduct code reviews, and establish engineering best practices for code quality, testing, and security.
· Develop microservices and REST/gRPC APIs to support AI/ML model integration, real-time data processing, and multi-channel communication.
· Implement event-driven architectures using message brokers (RabbitMQ/Kafka) and distributed caching (Redis).
· Optimize database performance (MongoDB, PostgreSQL) through advanced query tuning, indexing, and sharding strategies.
· Partner with AI/ML engineers to integrate NLP models, LLMs, and speech recognition systems into scalable workflows.
· Prototype cutting-edge solutions for latency reduction, fault tolerance, and real-time analytics.
· Optimize performance of high-traffic systems, including real-time data processing, database
Qualifications
· 5+ years of hands-on backend development experience, including 2+ years in senior/lead roles.
· Expert-level proficiency in Python and frameworks like Flask/Django/FastAPI.
· Cloud expertise: Proven experience with AWS/GCP/Azure services (e.g., ECS, Cloud Functions, S3).
· Database mastery: Advanced skills in MongoDB/PostgreSQL, including replication, aggregation, and optimization.
· System design: Strong grasp of microservices, distributed caching, API gateways, and load balancing.
· DevOps fluency: CI/CD, containerization (Docker/Kubernetes), and infrastructure automation.
· Leadership: Track record of leading cross-functional projects and mentoring teams.
· Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
Preferred Skills
· Experience with Generative AI/LLM frameworks or speech recognition systems.
· Familiarity with WebSocket, WebRTC, or real-time audio/video processing.
· Contributions to open-source projects or publications in AI/backend engineering domains.
· Startup/SaaS experience with agile, iterative development cycles.
About Gnani.ai Gnani.ai is a leading Conversational AI platform specializing in Natural Language Processing (NLP), Speech AI, and Generative AI technology. Our platform empowers businesses to create customer-centric omnichannel automation suites with proprietary products for real-time authentication, automation, agent assist, and analytics. Join us to shape the future of secure, efficient communication through groundbreaking AI solutions.
About the Role We seek a Senior Backend Developer with 5+ years of experience to lead the development of our Conversational AI and Generative AI platforms. In this role, you will architect scalable backend systems, drive technical strategy, and mentor junior engineers. You will collaborate with cross-functional teams to deliver high-performance solutions that push the boundaries of AI-driven automation.
Responsibilities
· Lead the design, development, and deployment of robust backend services and APIs for enterprise-scale AI platforms.
· Architect scalable, fault-tolerant systems leveraging cloud-native technologies (AWS/GCP/Azure) and microservices.
· Mentor junior engineers, conduct code reviews, and establish engineering best practices for code quality, testing, and security.
· Develop microservices and REST/gRPC APIs to support AI/ML model integration, real-time data processing, and multi-channel communication.
· Implement event-driven architectures using message brokers (RabbitMQ/Kafka) and distributed caching (Redis).
· Optimize database performance (MongoDB, PostgreSQL) through advanced query tuning, indexing, and sharding strategies.
· Partner with AI/ML engineers to integrate NLP models, LLMs, and speech recognition systems into scalable workflows.
· Prototype cutting-edge solutions for latency reduction, fault tolerance, and real-time analytics.
· Optimize performance of high-traffic systems, including real-time data processing, database
Qualifications
· 5+ years of hands-on backend development experience, including 2+ years in senior/lead roles.
· Expert-level proficiency in Python and frameworks like Flask/Django/FastAPI.
· Cloud expertise: Proven experience with AWS/GCP/Azure services (e.g., ECS, Cloud Functions, S3).
· Database mastery: Advanced skills in MongoDB/PostgreSQL, including replication, aggregation, and optimization.
· System design: Strong grasp of microservices, distributed caching, API gateways, and load balancing.
· DevOps fluency: CI/CD, containerization (Docker/Kubernetes), and infrastructure automation.
· Leadership: Track record of leading cross-functional projects and mentoring teams.
· Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
Preferred Skills
· Experience with Generative AI/LLM frameworks or speech recognition systems.
· Familiarity with WebSocket, WebRTC, or real-time audio/video processing.
· Contributions to open-source projects or publications in AI/backend engineering domains.
· Startup/SaaS experience with agile, iterative development cycles.