AI Engineer – LLMs, Prompt Engineering & Computer Vision

Job Title: AI Engineer – LLMs, Prompt Engineering & Computer Vision

Location: Remote

Shift Timing: 2 PM -11 PM

EXP -5 + YRS

Job Summary

We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Prompt Engineering, and Computer Vision. The ideal candidate will have strong analytical and logical reasoning skills to design intelligent systems capable of solving complex real-world problems. You will work on cutting-edge AI solutions involving multimodal models, reasoning systems, and advanced automation.

Key Responsibilities

• Design, develop, and deploy solutions using Large Language Models (LLMs) such as GPT, LLaMA, or similar.
• Create and optimize prompt engineering strategies for improved model performance and accuracy.
• Build and integrate Computer Vision models for tasks like object detection, image classification, OCR, and video analysis.
• Develop logical reasoning pipelines using AI models for decision-making, problem-solving, and automation workflows.
• Work on multimodal AI systems combining text, image, and structured data.
• Fine-tune and evaluate models for performance, bias, and reliability.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Implement APIs and scalable architectures for AI services.
• Monitor model performance and continuously improve outputs using feedback loops.

Required Skills & Qualifications

• Strong experience with LLMs and NLP techniques
• Hands-on expertise in Prompt Engineering
• Experience with frameworks like TensorFlow, PyTorch
• Knowledge of Computer Vision libraries (OpenCV, YOLO, Detectron, etc.)
• Understanding of transformers and deep learning architectures
• Experience in building reasoning-based AI systems or rule-based + ML hybrid systems
• Strong programming skills in Python
• Familiarity with REST APIs, microservices, and cloud platforms (AWS/GCP/Azure)
• Good understanding of data structures, algorithms, and logical problem-solving

Preferred Qualifications

• Experience with multimodal models (text + image)
• Exposure to RAG (Retrieval-Augmented Generation) architectures
• Knowledge of vector databases (FAISS, Pinecone, etc.)
• Experience in model fine-tuning and evaluation techniques
• Understanding of AI ethics, bias mitigation, and explainability

Soft Skills

• Strong analytical and logical thinking ability
• Problem-solving mindset with attention to detail
• Excellent communication and collaboration skills
• Ability to work in a fast-paced, innovation-driven environment

Nice to Have

• Experience in building AI agents or autonomous systems
• Knowledge of LangChain / LangGraph
• Exposure to edge AI or real-time vision systems