AI Engineer

Teleradiology Solutions Pvt. Ltd.; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

TRS in Bengaluru is seeking a hands-on AI Engineer with 2+ years to design, build, and deploy production-grade AI systems focusing on GenAI/LLMs, OCR data extraction, and Computer Vision. You’ll work across the stack from model development to backend APIs and deployment, collaborating with product, backend, and DevOps teams.

Proficiency in Python, FastAPI, MongoDB/SQL and experience with LLMs, embeddings, and CV models is required.

Qualifications

• 2+ years of hands-on AI/ML engineering experience.
• Strong Python development and API design skills.
• OCR and CV experience with relevant tools.

Responsibilities

• Design, develop, and deploy GenAI/LLM-based solutions.
• Build OCR pipelines for structured data extraction from documents.
• Develop CV models for classification, detection, and segmentation.
• Create RESTful APIs with FastAPI.
• Manage data storage with MongoDB and SQL.
• Integrate LLM APIs into production applications.
• Work with vector databases for semantic search.
• Collaborate across product, backend, and DevOps teams.
• Write clean, tested code and monitor performance.
• Stay updated with GenAI advances.

Skills

Python

GenAI/LLMs

OCR technologies

Computer Vision

FastAPI

Docker

MongoDB

SQL

REST API design

Git

CI/CD

Async programming

Tools

PyTorch

TensorFlow

OpenCV

LangChain

LlamaIndex

Job description

Bangalore North, India | Posted on 07/30/2026

Job Description -AI Engineer

About Company:

Teleradiology Solutions (TRS) is a pioneer in teleradiology, deliveringround-the-clock diagnostic radiology reporting and support to hospitals andhealthcare providers across India, the US, and other global markets. Founded in2002 by two Yale-trained physicians and headquartered in Ardmore, PA, TRS todayserves over 150 hospitals across 21 countries.
The company pairs a network of board-certified radiologists — includingABR-certified specialists — with technology-driven workflows and its AI-enabledarm, dAIgnostiX, to deliver fast, accurate, and reliable imaginginterpretation. dAIgnostiX is based out of Bengaluru (Whitefield).TRS/dAIX also maintains an active academic focus (www.radguru.net ) and ongoingresearch interests, including AI in radiology.

About the Role

Weare looking for a hands-on AI Engineer with 2 + years of experience to design, build, and deployproduction-grade AI systems, with strong focus areas in Generative AI /LLMs , OCR-based document/data extraction ,and ComputerVision (classification, object detection, segmentation). Theideal candidate is comfortable working across the full stack — from modeldevelopment/integration to backend APIs to deployment.

Key Responsibilities

• Design, develop, and deploy GenAI/LLM-based solutions (RAGpipelines, prompt engineering, fine-tuning, agentic workflows).
• Build and optimize OCR pipelines for extracting structured datafrom 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.
• Design and manage data storage using MongoDB (NoSQL) and SQL databases.
• Integrate LLM APIs (OpenAI, Anthropic Claude, open-source LLMs likeLLaMA/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 solutionsbased on production feedback.
• Stay current with advancements in GenAI, LLMs, OCR, and ComputerVision.

Required Skills & Qualifications

• 2 + years of experience inAI/ML engineering .
• Strong proficiency in Python .
• Hands-on experience with GenAI / LLMs — promptengineering, 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, orsimilar) for document/image data extraction.
• Hands-on experience with Computer Vision — imageclassification, object detection (YOLO, Faster R-CNN, etc.), andsegmentation (U-Net, Mask R-CNN, semantic/instance segmentation) usingframeworks 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 asynchronousprogramming in Python.

Good to Have

• Experience with vector databases and semantic search.
• Exposure to cloud platforms (AWS/Azure/GCP), especially their AI/MLand storage services.
• Experience with model training/fine-tuning pipelines (Hugging Face,PyTorch, Detectron2, MMDetection).
• Familiarity with medical imaging formats (DICOM) or otherdomain-specific imaging pipelines.
• Familiarity with message queues (RabbitMQ/Kafka) for asyncprocessing.
• Experience with monitoring/logging tools for production AI systems.
• Prior experience in healthcare, fintech, or document-heavy domainsis a plus.

Soft Skills

• Strong problem-solving ability and willingness to work across thestack.
• Ability to work independently and in a fast-paced, iterativeenvironment.
• Good communication skills to collaborate with cross-functionalteams.