AI-Tech Engineer

AI-Tech Engineer

Key Responsibilities

AI System Design & Development

• Create and implement AI solutions with a strong focus on Agentic AI systems.
• Develop and enhance AI models, especially for image and video processing tasks.
• Ensure all AI systems are efficient, robust, and scalable.

AI Agent Architecture

• Build flexible, interactive AI Agent systems.
• Integrate multiple AI models and APIs to enable seamless workflows.

Web Development & API Integration

• Build web pages that interface with AI systems.
• Develop APIs for connecting AI models with external applications.
• Integrate LLMs into applications to improve user experience.

Image & Video Processing

• Develop AI systems for analyzing and processing images and videos.
• Use deep learning techniques for image recognition, video analytics, and related tasks.

Tokenization & NLP

• Implement tokenization pipelines for NLP tasks including chatbots and text generation.
• Enhance model performance using optimized tokenization strategies.

No-Code AI Development

• Use no-code platforms to build and deploy AI solutions.
• Streamline workflows using no-code automation tools.

Collaboration & Innovation

• Work with product managers, data scientists, and engineering teams to build AI-driven solutions.
• Stay updated with emerging AI technologies and bring innovative ideas to the team.

Model Deployment & MLOps

• Deploy AI models on cloud platforms and monitor performance.
• Build processes for continuous improvement, retraining, and optimization of AI models.

Basic Qualifications

• 2+ years of experience in AI development, working with LLMs, image/video processing, and AI architecture.
• Strong programming skills in Python with experience using TensorFlow, PyTorch, Hugging Face, etc.
• Experience in web development and API creation (FastAPI, Flask).
• Knowledge of tokenization and NLP concepts.
• Hands-on experience with AI systems for image/video processing.
• Familiarity with no-code AI platforms.
• Experience deploying AI models on cloud platforms (AWS, Azure, GCP).
• Strong analytical, problem-solving, and learning skills.
• Excellent communication and teamwork abilities.

Preferred Qualifications

• Experience with advanced LLMs (GPT, BERT).
• Knowledge of AI for creative applications (image/video generation).
• Familiarity with frameworks like LangChain, Semantic Kernel.
• Experience with image/video tools (OpenCV, TensorFlow).
• Understanding of AI ethics and data privacy regulations (GDPR, etc.).