# AI Engineer ## Summary - Organization: Teleradiology Solutions - Location: Bengaluru, Karnataka, India - Type: Full-Time - Department: N/A - Status: active - Posted: [object Object] - Updated: [object Object] - Closing Date: N/A - External Apply: Yes - External Apply URL: https://telradsol.zohorecruit.in/jobs/Careers/102249000006287194/AI-Engineer ## Details - Salary: N/A - Experience: N/A - Education: N/A - Team: N/A - Reporting To: N/A ## Description **About the job** **Job Description -AI Engineer** **About Company:** Teleradiology Solutions (TRS) is a pioneer in teleradiology, delivering round-the-clock diagnostic radiology reporting and support to hospitals and healthcare providers across India, the US, and other global markets. Founded in 2002 by two Yale-trained physicians and headquartered in Ardmore, PA, TRS today serves over 150 hospitals across 21 countries. The company pairs a network of board-certified radiologists — including ABR-certified specialists — with technology-driven workflows and its AI-enabled arm, dAIgnostiX, to deliver fast, accurate, and reliable imaging interpretation. dAIgnostiX is based out of Bengaluru (Whitefield). TRS/dAIX also maintains an active academic focus (www.radguru.net) and ongoing research interests, including AI in radiology. Experience: 2+ Years Location: Bengaluru / On-site Department: Artificial Intelligence **About the Role** We are looking for a hands-on AI Engineer with 2+ years of experience to design, build, and deploy production-grade AI systems, with strong focus areas in Generative AI / LLMs, OCR-based document/data extraction, and Computer Vision (classification, object detection, segmentation). The ideal candidate is comfortable working across the full stack — from model development/integration to backend APIs to deployment. **Key Responsibilities** - Design, develop, and deploy GenAI/LLM-based solutions (RAG pipelines, prompt engineering, fine-tuning, agentic workflows). - Build and optimize OCR pipelines for extracting structured data from scanned documents, PDFs, images, and forms. - Develop, train, and fine-tune Computer Vision models for image classification, object detection, and segmentation tasks. - Develop and maintain RESTful APIs using FastAPI to expose AI/ML models and services. - Containerize applications using Docker and manage deployment across environments. - Design and manage data storage using MongoDB (NoSQL) and SQL databases. - Integrate LLM APIs (OpenAI, Anthropic Claude, open-source LLMs like LLaMA/Mistral) into production applications. - Work with vector databases (FAISS, Pinecone, Chroma, Weaviate, etc.) for semantic search and RAG implementations. - Collaborate with cross-functional teams (product, backend, DevOps) to integrate AI features into existing platforms. - Write clean, maintainable, well-documented, and testable code. - Monitor model performance, debug issues, and iterate on solutions based on production feedback. - Stay current with advancements in GenAI, LLMs, OCR, and Computer Vision. **Required Skills & Qualifications** - 2+ years of experience in AI/ML engineering. - Strong proficiency in Python. - Hands-on experience with GenAI / LLMs — prompt engineering, RAG, embeddings, fine-tuning, or agentic frameworks (LangChain, LlamaIndex, LangGraph or similar). - Practical experience with OCR technologies (Tesseract, PaddleOCR, AWS Textract, Google Vision OCR, Azure Form Recognizer, or similar) for document/image data extraction. - Hands-on experience with Computer Vision — image classification, object detection (YOLO, Faster R-CNN, etc.), and segmentation (U-Net, Mask R-CNN, semantic/instance segmentation) using frameworks like PyTorch, TensorFlow, or OpenCV. - Solid experience building APIs with FastAPI. - Working knowledge of Docker — building images, writing Dockerfiles, docker-compose. - Experience with MongoDB and SQL databases (schema design, queries, indexing, aggregation). - Understanding of core ML/DL concepts (CNNs, transformers, embeddings, evaluation metrics like IoU, mAP, F1). - Familiarity with version control (Git) and basic CI/CD practices. - Good understanding of REST API design principles and asynchronous programming in Python. **Good to Have** - Experience with vector databases and semantic search. - Exposure to cloud platforms (AWS/Azure/GCP), especially their AI/ML and storage services. - Experience with model training/fine-tuning pipelines (Hugging Face, PyTorch, Detectron2, MMDetection). - Familiarity with medical imaging formats (DICOM) or other domain-specific imaging pipelines. - Familiarity with message queues (RabbitMQ/Kafka) for async processing. - Experience with monitoring/logging tools for production AI systems. - Prior experience in healthcare, fintech, or document-heavy domains is a plus. **Soft Skills** - Strong problem-solving ability and willingness to work across the stack. - Ability to work independently and in a fast-paced, iterative environment. - Good communication skills to collaborate with cross-functional teams. ## Responsibilities None ## Skills None ## Tags None ## Organization - Name: Teleradiology Solutions - Website: https://telradsol.com/ - Industry: Hospitals and Health Care - Size: 501-1,000 employees - Founded Year: N/A - Description: Teleradiology Solutions (TRS), rated the number 1 National Teleradiology company in the United states by KLAS in 2011 was founded in 2002 by two Yale University trained physicians. It provides teleradiology services (i.e., CT, MRI, Xray, ultrasounds reports) to over 150 hospitals in the United States. Teleradiology Solutions was among the first teleradiology companies to be accredited by the US Joint Commission of Accreditation of Healthcare Organizations (JC). The company was showcased to US President Obama as an example of health care innovation on his Nov 2010 trip to India. Teleradiology Solutions is a health care company that uses technology for varied purposes from e-teaching to teleradiology to telemedicine, making it a company with a difference.