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
- 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.
- 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.
- 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.
- 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.
- Multimodal AI :
- Work with documents, images, audio, and multimodal AI models.
- Build OCR, transcription, document parsing, and extraction pipelines.
- 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.