Senior Consultant - Tech Consulting - NAT - CNS - TC - Full stack Developer with AIML - Bangalore

Requisition Id: 1536322

Full Stack Engineer 

About the Role 
We are seeking a talented and versatile Full Stack Engineer with DevOps expertise to join our innovative team. In this pivotal role, you will be at the forefront of developing and implementing cutting-edge AI-powered applications while leveraging DevOps practices to 
ensure seamless deployment, scalability, and system maintenance. You will be responsible for integrating AI technologies into robust, scalable software systems, and building end-to-end data platforms that drive real-world impact. 
 

Key Responsibilities 

• Full Stack Development: Design, develop, and maintain both front-end and back-end components of AI-driven applications, ensuring a cohesive user experience and robust system architecture. 
• AI Integration: Seamlessly incorporate AI models, algorithms, and APIs into existing systems and workflows, enhancing functionality and driving innovation. 
• Security Implementation: Develop and maintain secure authentication systems, including multi-factor authentication (MFA), to protect sensitive data and ensure user privacy. 
• Enterprise System Integration: Facilitate smooth integration with various enterprise systems, such as Customer Relationship Management (CRM) and Learning Management Systems (LMS), ensuring that AI-driven applications enhance and complement existing workflows. 
• ERP System Integration: Integrate AI-driven applications with Enterprise Resource Planning (ERP) systems to automate and optimize business processes, improve financial compliance, and provide strategic insights across various departments within the organization. 
• Database Management: Architect and manage database solutions to support the storage, retrieval, and analysis of large datasets in AI-driven applications. Ensure the performance, scalability, and security of both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Couchbase) databases, and apply best practices for data modeling and query optimization. 
• API Development: Design and implement RESTful APIs and microservices to support AI functionalities and enable seamless communication between different system components. 
• Cloud Infrastructure: Leverage cloud platforms (AWS, Azure, or GCP) to deploy and scale AI-powered applications efficiently, utilizing containerization (Docker) and orchestration (Kubernetes) technologies. 
• DevOps Pipeline Management: Build and maintain CI/CD pipelines, automating the deployment and monitoring of applications to ensure scalability and reliability. 
• Performance Optimization: Continuously monitor and optimize application performance, responsiveness, and scalability to handle growing user demands and data volumes. 

Requirements 

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 
• 5+ years of hands-on experience in full stack development, with a focus on AI-powered applications. 
• Strong proficiency in: 
  • Front-end technologies: React, Angular, or Vue.js 
  • Back-end technologies: Node.js, Python (Django or Flask), or Java (Spring) 
  • Database systems: SQL and NoSQL (e.g., PostgreSQL, MongoDB) 
• Demonstrated experience integrating AI/ML models into production systems. 
• Strong understanding of DevOps practices and data governance compliance. 
• Experience with version control systems (e.g., Git) and building CI/CD pipelines. 
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML services. 
• Excellent problem-solving skills and ability to debug complex issues across the full stack. 
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. 

Preferred Qualifications 

• Experience with containerization (Docker) and orchestration (Kubernetes) technologies. 
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. 
• Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Redis). 
• Knowledge of agile development methodologies. 
• Certifications in DevOps or data engineering technologies. 
   

What We Offer 

• Opportunity to work on innovative AI projects that solve real-world problems. 
• Collaborative and dynamic work environment that fosters creativity and growth. 
• Continuous learning opportunities, including access to cutting-edge AI and DevOps technologies and tools. 
• Competitive salary and comprehensive benefits package. 
• Flexible work arrangements to support work-life balance. 
• Career growth opportunities in a rapidly evolving field.