Full Stack Engineer - Senior

Interactly.ai; Hyderabad; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Interactly.ai is transforming healthcare operations with AI-powered automation across scheduling, lab follow-ups, eligibility checks, prior authorization, and insurance verification. Our multimodal AI agents work across voice, email, chat, fax, and EHR integrations improving patient access, reducing staff burden, and accelerating care delivery.

Lead complex full-stack system design and delivery. Own technical decisions, raise the engineering bar, and drive AI-powered feature development across

Qualifications

• 4–6 years total full-stack engineering.
• Strong backend expertise with Python and frameworks (FastAPI/Django).
• Experience integrating LLM/agentic systems in production (OpenAI, Anthropic, Gemini).
• Proven track record architecting scalable web applications.
• Deep databases, caching, and API design at scale.
• Mentoring engineers and leading technical initiatives.
• Ownership mindset and AI-first working style.

Responsibilities

• Architect and build complex, scalable full-stack features end-to-end.
• Make and document key technical decisions (frameworks, patterns, APIs, data models).
• Design robust backend services in Python and data models for performance and scale.
• Identify and resolve performance, reliability, and scalability bottlenecks.

Skills

Python

React

System design

LLM integration

Backend APIs

Tools

Docker

Kubernetes

AWS

GCP

FastAPI

Django

Job description

Interactly.ai is transforming healthcare operations with AI-powered automation across scheduling, lab follow-ups, eligibility checks, prior authorization, and insurance verification. Our multimodal AI agents work across voice, email, chat, fax, and EHR integrations improving patient access, reducing staff burden, and accelerating care delivery.

We serve 2,000+ physicians and healthcare providers, delivering measurable outcomes, 20–30% fewer no-shows and thousands of staff hours saved. Now, we're scaling our AI platform and we want you to help lead that charge.

Role Overview

Lead complex full-stack system design and delivery. Own technical decisions, raise the engineering bar, and drive AI-powered feature development across React and Python. A hands‑on senior engineer who shapes architecture and mentors the team.

Key Responsibilities

Architecture & Technical Leadership

• Architect and build complex, scalable full-stack features end-to-end
• Make and document key technical decisions (frameworks, patterns, APIs, data models)
• Design robust backend services in Python and data models for performance and scale
• Identify and resolve performance, reliability, and scalability bottlenecks

AI Systems

• Architect agentic workflows, RAG systems, and conversational AI features
• Define LLM integration patterns and best practices for the team
• Drive code quality through reviews, standards, and testing strategy
• Shape SDLC practices and engineering standards across the team
• Mentor mid-level engineers on technical challenges and architecture
• Leverage AI coding tools (Cursor, Copilot, Claude Code) for velocity
• Partner closely with product and design on roadmap and scope

Requirements

• 4–6 years full-stack engineering
• Strong backend expertise: Python (FastAPI/Django) and system design
• LLM/agentic systems integration in production (OpenAI, Anthropic, Gemini)
• Proven experience architecting scalable web applications
• Deep databases, caching, and API design at scale
• Track record mentoring engineers and leading technical initiatives
• Strong ownership mindset and AI-first working style

Nice-to-Have

• Event-driven and real-time architectures (WebSockets, SSE, Kafka)
• Cloud and DevOps fluency for end-to-end ownership (AWS/GCP, Docker, K8s)
• SDLC leadership: standards, testing strategy, developer experience
• Healthcare technology or health-tech startup experience

Why Join Interactly.ai?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting‑edge tools (Claude Code, Cursor, Copilot)
• Mission‑driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed‑stage growth — scale from Seed to Series A alongside the team

Interview Process