About HealthPlix :

HealthPlix is India's leading AI-powered EMR platform, empowering over 14,000 doctors to deliver smarter, faster, and more personalised care. We build at the intersection of clinical intelligence and large-scale product engineering - and we're looking for engineers who thrive in that space.

The Role :

We are looking for a hands-on AI/ML Engineer who can take an AI product from whiteboard to production. You will work closely with product, data, and clinical teams to design and ship real systems - not prototypes - that affect patient outcomes at scale. This is not a research role; ownership, speed, and code quality matter equally here.

What You Will Do :

- Design and build end-to-end AI features - from problem framing and data pipelines through to deployed, monitored APIs

- Develop and maintain production-grade Python services using FastAPI, with clean, well-tested, reviewable code

- Architect and implement agentic AI systems including tool-calling workflows, multi-step reasoning pipelines, and LLM orchestration using frameworks such as LangChain or LangGraph

- Build and manage RAG pipelines leveraging vector databases (Qdrant, Weaviate, Pinecone, or pgvector)

- Load, serve, and optimise open-source models using HuggingFace Transformers, vLLM, or similar runtimes

- Write complex SQL queries, design schemas, and work with structured clinical and operational data

- Translate business and clinical requirements into concrete ML problem statements and implementable solutions

- Collaborate in code reviews, uphold engineering standards, and actively reduce technical debt

Must-Have Skills :

Python & Software Engineering :

- 3- 6 years of professional Python development with a strong emphasis on production code quality

- Solid understanding of software design principles: clean architecture, testability, modularity, and code review culture

- Experience with Git, bitbucket

AI / ML Stack :

- Hands-on experience building and shipping LLM-powered applications end-to-end

- Working knowledge of HuggingFace Transformers, vLLM, or comparable model loading and serving frameworks

- Practical experience with agentic AI patterns : tool-calling, function routing, multi-agent coordination, and LLM orchestration (LangChain, LangGraph, or similar)

- Experience designing and implementing RAG systems with vector databases

Backend & Data :

- Strong SQL skills - complex joins, window functions, query optimisation, schema design

- Experience building production APIs with FastAPI (or comparable async Python frameworks)

- Comfort working with messy, real-world data and translating it into reliable ML inputs

Product & Domain Thinking :

- Demonstrated ability to read a business or clinical requirement and convert it into a scoped ML problem statement

- Track record of owning features end-to-end: problem definition, solution design, implementation, deployment, and iteration

Nice to Have :

- Docker : containerising ML services for reproducible, portable deployment

- Cloud basics : AWS EC2, Lambda, S3, or equivalent GCP services

- LLM fine-tuning : supervised fine-tuning, LoRA/QLoRA, or instruction tuning on domain-specific data

- Inference optimisation : quantisation (GPTQ, AWQ, BnB), batching strategies, and vLLM serving tuning

- ETL / ELT familiarity : Airflow, dbt, or equivalent data pipeline tools

- Experiment tracking : MLflow, Weights & Biases, or similar

- Model explainability : SHAP, LIME, or an awareness of interpretability requirements in regulated domains

- Prior experience in healthtech, clinical NLP, or working with healthcare data (EHR, lab reports, clinical notes)

Why HealthPlix :

- Work on AI products that directly impact how doctors diagnose and treat patients across India

- Small, high-ownership team - your code ships, your decisions matter

- Modern, evolving stack with genuine investment in AI tooling and developer productivity

- Competitive compensation, flexible work culture, and significant scope for growth