Develop, test, and deploy AI and Generative AI applications using
programming languages and AI frameworks.
2. Implement prompt engineering techniques to optimize outputs from large
language models.
3. Integrate AI services and models into enterprise applications via APIs and
SDKs.
4. Build and maintain RAG and LLM-based solutions for conversational and
knowledge-driven use cases.
5. Collaborate with architects and data scientists on model implementation and
integration.
6. Perform model testing, evaluation, and tuning to improve accuracy, relevance,
and performance.
7. Follow best practices for secure, scalable, and reliable AI development.
8. Work with cloud platforms and DevOps pipelines to support CI/CD for AI
workloads.
9. Document AI solutions, prompts, and integration patterns for reuse and
maintainability.
10. Stay updated on evolving AI tools, frameworks, and enterprise AI practices
📌 Gen AI (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India
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