Lead AI Platform Engineer – Healthcare Automation
Location: Bangalore (Preferred) / Remote – India
Department: Engineering
Reports To: Chief Operating Officer (COO)
About Organisation
We are a rapidly growing healthcare technology company serving outpatient medical
practices across the United States. We develop innovative software solutions that
improve operational efficiency through intelligent automation, cloud technology, and
modern engineering.
As we continue to scale, we are investing in AI-powered workflow automation to build
the next generation of healthcare technology platforms.
Position Overview
We are looking for a highly motivated Lead AI Platform Engineer to lead the design and
development of intelligent automation platforms for healthcare operations.
This is a hands-on technical leadership role for someone who enjoys solving complex
business problems using scalable software architecture, workflow automation, APIs, and
Artificial Intelligence.
You will work closely with executive leadership, product teams, and operations to build
secure, scalable, and automation-first platforms that improve efficiency and support
rapid business growth.
Key Responsibilities
Design scalable cloud-native backend applications and API-driven platforms.
Build workflow automation and configurable business process engines.
Apply AI and LLM technologies to improve business processes and productivity.
Develop secure integrations with third-party enterprise systems.
Build operational dashboards, monitoring, and reporting capabilities.
Mentor engineers and drive engineering best practices.
Required Qualifications
Bachelor or Master's degree in Computer Science, Engineering, or related
discipline.
8–12 years of professional software engineering experience.
Strong experience with enterprise SaaS platforms and distributed systems.
Experience leading complex engineering initiatives.
Startup or high-growth company experience preferred.
Technical Skills
Python, Java, Node.js (Go preferred).
REST APIs, Microservices, PostgreSQL, MongoDB, Redis.
AWS, Azure or Google Cloud.
Docker, Kubernetes, CI/CD.
Kafka, RabbitMQ or similar messaging technologies.
Artificial Intelligence Experience
Hands-on experience with Large Language Models (LLMs).
AI workflow automation and prompt engineering.
AI agents and Retrieval-Augmented Generation (RAG).
Experience with OpenAI, Anthropic, Gemini or equivalent platforms.
Building and deploying AI-powered applications.
Preferred Experience
Healthcare technology or Revenue Cycle Management (RCM).
EMR/EHR platforms and healthcare interoperability.
Claims or insurance systems.
HIPAA-compliant software.
Enterprise workflow automation.
Personal Attributes
Builder mindset with high ownership.
Strong architectural thinking and problem-solving skills.
Excellent communication and collaboration.
Passion for AI and modern software engineering.
Why Join us:
Build innovative healthcare technology used across the United States.
Work directly with executive leadership.
Lead high-impact engineering initiatives.
High ownership and technical autonomy.
Collaborative and innovation-driven culture.
