Solution Architect - Conversational AI & Integration - Java, Python

Responsibilities

• Java & Spring Boot: Strong hands-on proficiency in Java and Spring Boot for backend services, APIs, and client-facing application development.
• Python & AI Engineering: Strong hands-on proficiency in Python for AI integrations, automation, and MLOps-related work.
• Cloud & Databases: Hands-on experience designing and implementing AWS-based architectures, including DynamoDB and PostgreSQL.
• LLM Integration: Experience integrating LLMs, including OpenAI or equivalent platforms, into enterprise applications.
• Voice AI: Experience integrating Voice AI platforms such as ElevenLabs or equivalent technologies.
• API & Integration Architecture: Deep knowledge of REST APIs, event-driven architectures, asynchronous messaging, and enterprise system integration.
• Frontend Technologies: Working familiarity with React-based applications and frontend-backend integration.
• Concurrency & Distributed Systems: Experience designing multithreaded, concurrent, asynchronous, and distributed systems.
• Security & Identity: Strong understanding of authentication, authorization, identity management, secure API design, and enterprise security patterns.
• Production Operations: Experience with deployment strategies, environment management, monitoring, logging, troubleshooting, and production support.
• Architecture & Design: Ability to translate business requirements into scalable, maintainable, secure, and resilient technical architectures.

Qualifications

• 10-20 Years
• Java, Python
• Solution Architecture, Conversational AI, Java, Spring Boot, Python, AWS, DynamoDB, PostgreSQL, OpenAI/LLM Integration, Voice AI (ElevenLabs), REST APIs, Event-Driven Architecture, System Integration, MLOps, React, Multithreading, Distributed Systems, Cloud Architecture, API Security, Identity Management, CI/CD, Production Deployment, Performance Optimization, Technical Leadership, Stakeholder Management.
• Any Graduate in Any Specialization