Solution Architect – Conversational AI & Integration | Java, Python
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Description
Requirements
- 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.
- API & Integration Architecture: Deep knowledge of REST APIs, event-driven architectures, asynchronous messaging, and enterprise system integration.
- 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.
- Cloud & Databases: Hands-on experience designing and implementing AWS-based architectures, including DynamoDB and PostgreSQL.
- Security & Identity: Strong understanding of authentication, authorization, identity management, secure API design, and enterprise security patterns.
- Concurrency & Distributed Systems: Experience designing multithreaded, concurrent, asynchronous, and distributed systems.
- Architecture & Design: Ability to translate business requirements into scalable, maintainable, secure, and resilient technical architectures.