Wissen Technology - AI Specialist - Large Language Models

Key Responsibilities :

- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise AI use cases.

- Develop effective prompts and implement Prompt Engineering techniques to improve LLM performance.

- Integrate AI models with enterprise applications and backend services.

- Develop scalable solutions using Python and Java.

- Deploy and manage AI applications on the AWS Cloud platform.

- Collaborate with business stakeholders to translate business requirements into AI-driven solutions.

- Evaluate, fine-tune, and optimize AI models for performance, accuracy, and reliability.

- Document technical solutions and ensure adherence to AI best practices and governance standards.

Required Skills & Experience:

- 5-8 years of experience in AI/ML or Software Development.

- Strong proficiency in Python and Java.

- Hands-on experience with:

1. Large Language Models (LLMs)

2. Prompt Engineering

3. Retrieval-Augmented Generation (RAG)

- Experience deploying AI applications on AWS.

- Strong analytical, troubleshooting, and problem-solving skills.

- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

- Experience with machine learning frameworks such as:

1. TensorFlow

2. PyTorch

3. Scikit-learn

- Knowledge of MLOps practices, model deployment, and monitoring.

- Experience with vector databases, AI agents, and LangChain/LlamaIndex is a plus.

- Familiarity with Docker, Kubernetes, and CI/CD pipelines.

- Exposure to cloud-native AI architectures and responsible AI practices.

Key Competencies:

- Generative AI & LLMs

- Prompt Engineering & RAG

- Python & Java

- AWS Cloud

- Machine Learning (TensorFlow, PyTorch, Scikit-learn)

- MLOps & Model Deployment

- AI Solution Architecture

- Problem-Solving & Stakeholder Management

(ref:hirist.tech)