About the role
Industry: Healthcare / Medical Devices
Location: Agra, Uttar Pradesh (On-site | Relocation required)
Experience: 1–3 Years
Compensation: Up to ₹1,50,000/month (based on experience & skills)
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.