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.

Positive 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.

📌 AI Engineer – Local AI & Internal Applications - Agra
🏢 HyrEzy Talent Solutions
📍 Agra