Senior 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 have 5+ years of software development experience
- You’ve built and owned backend systems deployed in production
- You can turn ambiguous product requirements into a clear technical plan
- You have strong systems design skills—distributed systems, databases, APIs, queues, async workflows, and observability
- You’ve integrated AI tools into your development workflow and are willing to experiment with new approaches
- You have a strong bias for action—you ship, learn, prioritize ruthlessly, and iterate quickly
- You take full ownership of your systems and enjoy mentoring teammates
Desirable
- You have experience building platform, infrastructure, or workflow systems at scale
- You have built agentic products or agent-based workflows
- You’ve integrated LLMs or AI models into production backend systems
- You have a background in event-driven architectures, workflow engines, observability, or runtime reliability
- You have experience in healthcare operations or revenue cycle management
What the job involves
- As a Senior Engineer at Magical, you'll build and own the systems powering our AI agents
- You'll set technical direction for projects, drive delivery, enhance your team’s effectiveness, and take end-to-end ownership of core systems
- Our platform orchestrates long-running, high-stakes healthcare workflows—managing queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery
- You'll help transform unstructured customer inputs—SOPs, decision trees, portal behaviors, and edge cases—into dependable automations
- You’ll build systems that can draft, test, and enhance workflows, catch failures, recommend edits, and know when human intervention is needed
- You'll also contribute to improving runtime reliability, workflow pathways, evaluations, and specialized agents for critical healthcare tasks
- Design and build backend and full-stack systems for AI agents and healthcare automations
- Set technical direction within a project or product area, especially when requirements are ambiguous
- Build features for automation creation, workflow pathways, testing, editing, and production run reporting
- Improve runtime reliability through systems for run state management, queues, idempotency, error classification, alerts, and dashboards
- Own critical services from architecture through deployment, monitoring, and iteration
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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