AI Engineer

Industry : Healthcare / Medical Devices Location : Agra, Uttar Pradesh (On-site | Relocation required) Experience : 1 - 3 Years Employment Type : Full-Time Notice Period : Immediate to 30 days preferred About the Company : Our client is one of India's most established names in the medical devices and healthcare products space, with a legacy of over five decades and a strong pan-India presence. The organisation is now investing in building an AI-led internal technology ecosystem to drive efficiency, automation, and data intelligence across its operations. This is a greenfield role - you will be among the first to build the AI function from the ground up, working closely with senior leadership. About the Role : We are looking for a hands-on AI Engineer to build and deploy practical, privacy-first AI solutions for internal teams. You will work directly with business and management to identify use cases, prototype solutions, and ship production-ready internal tools - all within a secure, on-premise or hybrid AI environment. Key Responsibilities : 1. Use Case Identification : - Work with business and management teams to identify and prioritise high-impact AI use cases. - Define feasibility, success metrics, and scope before development begins. 2. Local AI & Analytics : - Build analytics solutions on structured internal data using local / on-prem LLM ecosystems. - Deliver summaries, trend reports, anomaly detection, and exception flagging - without routing sensitive data through third-party cloud APIs. 3. Application Development : - Turn validated AI concepts into reliable, production-ready internal tools. - Own the full stack : backend, database, APIs, and a functional front-end UI. 4. Architecture Recommendations : - Recommend deployment approaches (on-prem, hybrid, private cloud) based on data sensitivity, cost, and performance. - Document trade-offs between local and cloud AI workloads. 5. Multimodal AI : - Work with documents, images, audio, and multimodal AI models. - Build OCR, transcription, document parsing, and extraction pipelines. 6. Hardware Planning : - Benchmark AI models against available and prospective hardware (GPUs, edge servers, storage). - Support evaluation and procurement decisions for local AI infrastructure. Must-Have Skills & Experience : - 1 - 3 years of hands-on AI/ML engineering experience in a production environment. - Strong Python skills and experience with at least one backend framework (FastAPI, Flask, Django, or equivalent). - Proven experience deploying open-source LLMs locally (Ollama, vLLM, LM Studio, llama.cpp, or similar). - Practical knowledge of RAG pipelines and vector databases (FAISS, Chroma, Qdrant, Weaviate). - Ability to build functional UIs for internal tools (React, Streamlit, or similar). - Experience with OCR, document parsing, or audio transcription pipelines. - Comfortable with SQL/NoSQL databases and REST API design. - Ability to work independently with non-technical business stakeholders. Good to Have : - Prior experience in healthcare, pharma, or manufacturing domain. - Knowledge of GPU server setup, CUDA, and model quantisation (GGUF, AWQ, GPTQ). - Familiarity with workflow automation tools (n8n, Airflow, LangChain, CrewAI). - Exposure to multimodal models (LLaVA, Whisper, PaddleOCR, etc.). - Experience in greenfield AI transformation projects within enterprise settings. What We Offer : - Direct access to senior leadership - your work will drive real business decisions. - Greenfield AI mandate - you shape the roadmap, not just execute it. - Stable, well-established organisation with deep domain expertise. - Opportunity to build a local AI ecosystem from scratch.