Assistant Manager - Software

                                           Job Description – Manager/Architect

Job brief:

We are looking for a highly skilled and hands-on Full Stack AI Engineer with strong expertise in Python, Machine Learning, Cloud Technologies, and modern web application development. This is a coding-intensive role requiring active participation in architecture, design, development, code reviews, and deployment of enterprise-grade AI solutions.

The ideal candidate should be passionate about technology, comfortable working across the full stack, and capable of building scalable AI-powered applications from concept to production.

Mandatory Technical Skills         

• 8+ years of hands-on software development experience with strong coding expertise.
• Strong programming experience in Python (Mandatory).
• Proven experience in designing, developing, and deploying enterprise-grade applications.
• Strong expertise in Full Stack Development:
• Backend: Python, FastAPI, Flask, Django
• Frontend: React.js, Angular, JavaScript, TypeScript, HTML5, CSS3
• Experience developing and maintaining REST APIs and Microservices.
• Strong understanding of Object-Oriented Programming (OOP), SOLID Principles, Design Patterns, and Domain-Driven Design (DDD).
• Hands-on experience building, training, fine-tuning, and deploying Machine Learning models.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.
• Experience deploying AI/ML solutions into production environments and implementing MLOps practices.
• Strong hands-on experience with AWS and/or Azure Cloud Platforms (Mandatory).
• Experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes.
• Experience implementing CI/CD pipelines, DevOps, and Infrastructure as Code.
• Strong understanding of distributed systems, event-driven architecture, scalability, performance optimization, and security best practices.
• Experience working with relational and NoSQL databases.
• Strong debugging, analytical, and problem-solving skills.

Preferred Skills

• Experience with Generative AI, Large Language Models (LLMs), RAG, AI Agents, and Agentic AI frameworks.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Vector Databases and Enterprise AI platforms.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Gemini, Cursor, or equivalent.

Roles and Responsibilities:

• Design, develop, test, and deploy scalable full-stack applications using Python and modern front-end frameworks.
• Build and deploy Machine Learning and AI-powered solutions for enterprise use cases.
• Actively contribute to coding, code reviews, debugging, and performance optimization activities.
• Develop and maintain REST APIs, microservices, and cloud-native applications.
• Collaborate with business stakeholders, product teams, architects, and data scientists to translate requirements into technical solutions.
• Design scalable, secure, and maintainable software architectures following industry best practices.
• Implement and manage CI/CD pipelines, DevOps, and MLOps processes.
• Deploy, monitor, and optimize applications and ML models on AWS and/or Azure.
• Ensure high standards of code quality through automated testing, peer reviews, and engineering best practices.
• Troubleshoot and resolve complex technical issues across application, infrastructure, and data layers.
• Drive continuous improvement in architecture, development processes, security, scalability, and operational efficiency.
• Mentor and guide team members on technical design, coding standards, and engineering best practices.
• Stay updated with emerging technologies and recommend innovative solutions to enhance products and platforms.
• Work in Agile teams and contribute to sprint planning, estimation, and successful delivery of project milestones.

Experience:

• 8-12 years of overall experience
• Master/Bachelor's degree in Computer Science or an Engineering degree

Location:

• Hyderabad, Mumbai, Bangalore and Chennai