AI Engineer (Mumbai)

AI Engineer (Mumbai)

04 Sep
|
Humm Care
|
Mumbai

04 Sep

Humm Care

Mumbai

Job Title: AI Engineer

Company: Humm Care

Location: Mumbai (In-office)

Job Type: Full time

Experience Required: 2-3 years (Mandatory)

Joining Requirement: Immediate joiners preferred

About Humm Care

Humm Care is a digital healthcare platform building technology-driven healthcare solutions for corporates across India. Our products include OPD Wallets, Health Checkups, Teleconsultation, Diagnostics, Wellness Programs, and healthcare automation platforms.

We are looking for an AI Engineer who can work on real product development, automation, and AI-driven features across our platform.

Role Overview

We are looking for an AI Engineer who enjoys building production-ready AI systems rather than simple chatbot demos.

You will work on AI agents, LLM applications, retrieval systems, backend services, wearable integrations, evaluation frameworks, and healthcare-focused AI workflows. This role involves taking ideas from prototype to production while collaborating closely with product, engineering, and clinical stakeholders.

Responsibilities

- Design, build, and deploy AI-powered applications using modern LLMs
- Develop multi-agent workflows using frameworks such as LangGraph and LangChain
- Build robust tool-calling, memory, and orchestration systems
- Fine-tune, evaluate, and optimize open-source LLMs for domain-specific healthcare use cases
- Train, experiment with, and deploy custom AI/ML models
- Develop backend APIs and services using Python and FastAPI
- Build and maintain frontend features using React, or similar frameworks
- Build RAG pipelines, retrieval systems, and knowledge bases
- Integrate external APIs, wearable platforms, and healthcare data sources
- Design evaluation, testing, and benchmarking frameworks for AI systems
- Optimize AI performance, reliability, latency, and cost
- Work closely with product teams to translate business requirements into AI solutions
- Contribute to architecture decisions and technical roadmap planning

Required Skills

- Strong proficiency in Python




- Strong understanding of Generative AI and Large Language Models
- Experience building AI applications using LLM APIs
- Understanding of model evaluation, fine-tuning, embeddings, and inference workflows
- Experience with FastAPI or similar backend frameworks
- Good understanding of APIs, databases, and system design
- Experience with Git and collaborative development workflows
- Familiarity with Docker and containerized applications
- Basic to intermediate cloud experience with AWS or GCP
- Strong debugging, problem-solving, and analytical skills
- Ability to independently own features and deliver production-quality solutions

Preferred Skills

- Experience with LangGraph, LangChain, CrewAI, or similar agent frameworks
- Experience building RAG systems and retrieval pipelines
- Knowledge of vector databases and embeddings
- Fine-tuning and evaluation of domain-specific LLMs
- Experience with PostgreSQL, Redis, and cloud platforms
- Familiarity with AI evaluation frameworks and observability tools
- Experience working on healthcare, health-tech, or wearable data products
- Knowledge of prompt engineering, structured outputs, and tool-calling architectures

Tech Stack

- Python
- FastAPI
- LangGraph / LangChain
- Claude, OpenAI, Gemini
- PostgreSQL
- Redis
- Vector Databases
- React / Next.js
- Docker
- Git & GitHub
- GitHub Actions
- AWS / GCP

What You'll Work On

- AI health companions and personalized health agents
- Wearable integrations and health data intelligence
- Multi-agent healthcare workflows
- Retrieval and knowledge systems
- Clinical decision-support experiences
- Production-grade AI infrastructure
- Full-stack product features used by real users
- Cloud-native AI deployment and monitoring systems

Work Details

- Full-time role
- Location: Mumbai
- In-office
- Immediate joiners preferred
- Monday to Friday
- Work on live production systems
- High learning and growth opportunity

How to Apply

1. Complete the AI/ML Engineer Application Form.
2. Apply for the role on LinkedIn.
3. Email your resume to [email protected].

Email Subject: Application - AI Engineer - Humm Care

📌 AI Engineer (Mumbai)
🏢 Humm Care
📍 Mumbai

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