Python Full Stack Developer

We are looking for candidates with a minimum of 6 years of relevant industry experience in Full Stack development , with strong Python and full-stack development.

Qualification and Responsibilities:
Education:

• B-Tech or BE in any engineering discipline from top tier college with a minimum of 6 years of industrial experience

Required Skills:

• 6+ years of experience in software architecture, SOA, and full-stack development.
• Strong background in SOA, API-first architectures, and microservices design.
• Experience in Kubernetes, Docker, and cloud-native AI service deployments.
• Proficiency in Azure (or AWS/GCP) for deploying AI-powered cloud-native applications.
• Exposure to AI/ML models, LLMs, and NLP techniques.
• Expertise in Python, Flask/FastAPI, React/Angular for AI app development.
• Deep understanding of AI governance, security best practices, and compliance.
• Ability to evaluate AI models, optimize inference performance, and scale AI-driven applications.
• Strong problem-solving, debugging, and architectural decision-making skills.
• Ability to work independently and lead teams in developing AI-driven SOA applications.

Key Responsibilities:Architectural Design & Strategy:

• Design and implement Service-Oriented Architectures (SOA) for Gen AI-powered applications, ensuring scalability, security, and efficiency.
• Architect microservices-based LLM-powered solutions, including RAG architectures, knowledge bases, and AI-driven workflows enabling flexible service interactions and efficient scaling.
• Define best practices for scalable AI model deployment, inference pipelines, and API integrations.
• Optimize system design to improve performance, response times, and cost efficiency.

AI & Machine Learning Integration:

• Exposure to Gen AI techniques, including prompt engineering, model fine-tuning, and vector databases.
• Work with OpenAI, LLaMA, LangChain and other LLM frameworks.
• Design Retrieval-Augmented Generation (RAG) pipelines for AI-driven applications.
• Ensure AI applications adhere to compliance, ethical AI, and security guidelines.

Full Stack Development:

• Lead the development of AI-powered applications using Python, Flask/FastAPI, and React/Angular.
• Develop microservices-based, API-first architectures for AI model development.
• Implement scalable API gateways and middleware for integrating AI services into business applications.
• Work with event-driven architectures and message queues for efficient AI task execution.

Cloud & Infrastructure Management:

• Design and manage cloud-based AI architecture on Azure (or AWS/GCP).
• Deploy and orchestrate AI models using Kubernetes (K8s), Docker, CI/CD pipelines.
• Ensure high availability, auto-scaling, and cost optimization of cloud infrastructure.
• Implement event-driven AI service orchestration in a SOA-based environment.

Security & Governance:

• Architect AI applications with strong security controls, including role-based access (RBAC), API security, and data privacy measures.
• Ensure compliance with GDPR, HIPAA, and other data protection laws when handling sensitive AI-driven insights.

Collaboration & Leadership:

• Work with Product Owners, Data Scientists, and Engineering teams to define AI use cases and integration strategies.
• Provide technical guidance to development teams and mentor junior engineers.
• Lead technical discussions, design reviews, and architectural decision-making