Software Engineer, Magical
Agentic AI platform fully automating complex workflows
Be an early applicant
Agentic AI platform fully automating complex workflows
21-100 employees
Be an early applicant
21-100 employees
Company mission
To free the global workforce of mundane, soul-crushing workflows.
Role
Who you are
- You’ve built backend or full-stack systems running in production
- You have strong fundamentals across databases, APIs, queues, async workflows, and observability
- You’re comfortable working in TypeScript/Node or a similar backend stack
- You’ve integrated AI tools into your developer workflow and enjoy experimenting with new approaches
- You favor action—shipping, learning, prioritizing, and iterating quickly
- You take ownership of your work and enjoy helping teammates grow
Desirable
- Experience building platform, infrastructure, or workflow systems
- Experience creating agentic products or agent-based workflows
- Experience integrating LLMs or AI models into production backend systems
- Background in event-driven architectures, workflow engines, observability, or runtime reliability
- Experience in healthcare operations or revenue cycle management
What the job involves
- As a Software Engineer, you’ll build the systems powering Magical’s AI agents
- This is a wide-funnel role, open to a range of experience levels and backgrounds
- We’ll calibrate scope according to your skills, but we’re looking for people eager to own meaningful work, learn quickly, and help us ship robust products
- Under the hood, Magical orchestrates long-running, high-stakes healthcare workflows involving queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery
- You’ll help convert messy customer inputs—SOPs, decision trees, portal behaviors, edge cases—into reliable automations
- You’ll design systems that draft workflows, test them, catch failures, recommend edits, and escalate to humans as needed
- You’ll also work on runtime reliability, workflow pathways, evaluations, and specialized agents for repeatable healthcare tasks
- Design and build backend and full-stack systems for AI agents and healthcare automations
- Own projects from implementation through deployment, monitoring, and iteration
- Build product and platform features for automation creation, workflow pathways, testing, editing, and production run reporting
- Improve reliability with better run state management, queues, error classification, alerts, and dashboards
- Collaborate with product, design, and deployment engineering to turn real healthcare workflows into robust automation systems
Our take
It’s generally accepted that most workers in many sectors will complete at least one repetitive computer task within their work day. Magical is a platform hoping to remove the ache of these mundane tasks through its automation system.
The company doesn’t use specific integrations or APIs, rather, it simply collects repeatedly used data that can then be collated on the likes of a Google sheet or email. The platform stops you from typing the same thing over and over by populating repeatedly used text such as contact information. It's said to save an average of seven hours of work a week with its free-to-download Chrome extension.
Founded in 2020, Magical has attracted considerable funding and a growing enterprise footprint. Alongside this, the company has worked with over 10,000 businesses, including Salesforce, Uber, Bolt, Disney and Facebook, and is now moving beyond simple productivity tools into more advanced AI-driven automation. Recent partnerships, such as with Beacon Health System, signal a shift toword agentic AI capable of executing complex workflows within existing systems, particularly in high-stakes environments like healthcare.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jun 2022
$35m
SERIES A
Sep 2020
$6m
SEED
Total funding: $41m
Company HQ
SoMa, San Francisco, CA
Leadership
Harpaul Sambhi
(Co-Founder & CEO)Previously founded Careerify (Acquired by LinkedIn) where he served as CEO. He also worked in Product Management at LinkedIn and Microsoft.
Rosie Chopra
(Co-Founder & COO)Previously spent nearly 5 years at Atlassian in various roles, including Director and then Head of Strategy & Business Operations. She also worked at Deloitte for 3 years as a Manager of Strategy & Operations.
Prashant Viswanathan
(Co-Founder)Prashant has extensive experience in Software Engineering including working as Software Engineer at LinkedIn. He then went on to become Vice President of Engineering at Swift Medical.
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