Skills

Must have

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.

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.

Solution Architect – Conversational AI & Integration | Java, Python

Compensation

Not disclosed

Location

Hyderabad

Work setup

Onsite

Seniority

Not specified

Employment

Not specified

Experience

Not specified

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.

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.