Job highlights

- Expertise in Java, Spring Boot, Python for AI and MLOps, AWS architecture, LLM and Voice AI integration

- Develop backend services, integrate AI and Voice platforms, design APIs and distributed systems, ensure security and production support

Skills

- Java &
- Spring Boot: Strong hands-on proficiency in Java and Spring Boot for backend services, APIs, and client-facing application development.

- Python &

- AI Engineering: Solid 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.

📌 Solution Architect – Conversational AI & Integration | Java, Python (Bengaluru)
🏢 Jero Technologies
📍 Bengaluru