AI-Powered Java Fullstack Engineer
Tasks
- Advise on AI adoption architecture and best practices
- Build RAG pipelines
- Collaborate with cross-functional teams
- Contribute to projects from analysis to delivery
- Deliver generative AI use cases
- Design and develop custom applications
- Integrate LLM solutions into client systems
- Participate in pre sales innovation initiatives
- Stay up to date with emerging trends and drive innovation
Perks/Benefits
- Digital learning package
- Flexible work arrangement
- Professional development programs
- Work-life balance
Skills/Tech-stack
API Development | Agile | Angular | Automation | Azure OpenAI | Chatbots | Cloud Computing | Copilots | Document Intelligence | Generative AI | Java | LLM APIs | Language Models | Large Language Models | Microservices | RAG | React | Retrieval-Augmented Generation | Spring | Vue.js
Education
Roles
Engineer | Full Stack | Full Stack Engineer | Software Engineer | Stack Engineer
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