Key Responsibilities:

- Design, develop, and deploy AI-powered applications using Java and AWS.
- Architect and implement robust Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
- Integrate and optimize Large Language Models (LLMs) for production environments.
- Develop effective prompt engineering strategies to improve AI model performance and accuracy.
- Build scalable, secure, and high-performing AI services leveraging AWS cloud technologies.
- Collaborate with business stakeholders and engineering teams to translate business requirements into AI-driven solutions.
- Evaluate, optimize, and monitor AI models for performance, reliability, and scalability.
- Stay up to date with emerging trends in Generative AI, LLMs, and cloud technologies.

Required Skills & Qualifications:

Must-Have Skills:

- Strong proficiency in Java.
- Hands-on experience with Large Language Models (LLMs).




- Strong expertise in Prompt Engineering.
- Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
- Hands-on experience with the AWS Cloud Platform.
- Solid analytical, troubleshooting, and problem-solving skills.
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Experience building scalable, production-ready AI applications.

Nice-to-Have Skills:

- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge of MLOps practices, tools, and deployment pipelines.
- Familiarity with AI model lifecycle management, monitoring, and optimization.
- Exposure to enterprise AI governance and best practices.

📌 Wissen Technology - AI Specialist - Java/AWS (India)
🏢 wissen technology
📍 India