AI Engineer

Role Overview

Teleradiology Solutions (TRS) is looking for a hands-on AI Engineer with 2+ years of experience to design, build, and deploy production-grade AI systems. The role focuses on Generative AI / LLMs, OCR-based document/data extraction, and Computer Vision. The ideal candidate will work across the full stack, from model development to backend APIs and deployment.

Responsibilities

• Design, develop, and deploy GenAI/LLM-based solutions including RAG pipelines, prompt engineering, and agentic workflows.
• Build and optimize OCR pipelines for extracting structured data from scanned documents and images.
• Develop, train, and fine-tune Computer Vision models for classification, object detection, and segmentation.
• Develop and maintain RESTful APIs using FastAPI to expose AI/ML models.
• Containerize applications using Docker and manage deployment across environments.
• Design and manage data storage using MongoDB and SQL databases.
• Integrate LLM APIs (OpenAI, Anthropic, LLaMA/Mistral) and work with vector databases.
• Collaborate with cross-functional teams to integrate AI features into existing platforms.

Requirements

• 2+ years of experience in AI/ML engineering.
• Strong proficiency in Python.
• Hands-on experience with GenAI / LLMs (RAG, embeddings, fine-tuning, LangChain/LlamaIndex).
• Practical experience with OCR technologies (Tesseract, PaddleOCR, AWS Textract, etc.).
• Hands-on experience with Computer Vision (YOLO, PyTorch, TensorFlow, or OpenCV).
• Solid experience building APIs with FastAPI.
• Working knowledge of Docker.
• Experience with MongoDB and SQL databases.
• Understanding of core ML/DL concepts (CNNs, transformers, embeddings).

Skills

• Python
• FastAPI
• Docker
• MongoDB
• Computer Vision

Nice to Have

• Experience with vector databases and semantic search.
• Exposure to cloud platforms (AWS/Azure/GCP).
• Experience with model training pipelines (Hugging Face, PyTorch).
• Familiarity with medical imaging formats (DICOM).
• Experience with message queues (RabbitMQ/Kafka).