This is a 20% technical, 80% non-technical role designed for individuals who can blend technical know-how with strong operational and communication skills. You’ll be the bridge between our product and the client’s operations team.

Key Responsibilities

Collaborate with clients to co-design SOPs for resolving support queries across channels (chat, ticket, voice)
Scope and plan each integration: gather technical and operational requirements and convert them into an executable timeline with measurable success metrics (e.g., coverage %, accuracy, CSAT)
Lead integration rollouts and post-launch success loops: monitor performance, debug issues, fine-tune prompts and workflows
Conduct quarterly “AI health-checks” and continuously improve system effectiveness
Troubleshoot production issues, replicate bugs, ship patches, and write clear root-cause analyses (RCAs)
Act as the customer’s voice internally, channel key insights to product and engineering teams

Must-Have Qualifications

Engineering degree is a must; Computer Science preferred
Past experience in coding and a sound understanding of APIs is preferred
Ability to communicate clearly with both technical and non-technical stakeholders
Experience working in SaaS, customer success, implementation, or operations roles
Analytical mindset with the ability to make data-driven decisions

Role Overview

Key Responsibilities

Collaborate with clients to co-design SOPs for resolving support queries across channels (chat, ticket, voice)
Scope and plan each integration: gather technical and operational requirements and convert them into an executable timeline with measurable success metrics (e.g., coverage %, accuracy, CSAT)
Lead integration rollouts and post-launch success loops: monitor performance, debug issues, fine-tune prompts and workflows
Conduct quarterly “AI health-checks” and continuously improve system effectiveness
Troubleshoot production issues, replicate bugs, ship patches, and write clear root-cause analyses (RCAs)
Act as the customer’s voice internally, channel key insights to product and engineering teams

Must-Have Qualifications

Engineering degree is a must; Computer Science preferred
Past experience in coding and a sound understanding of APIs is preferred
Ability to communicate clearly with both technical and non-technical stakeholders
Experience working in SaaS, customer success, implementation, or operations roles
Analytical mindset with the ability to make data-driven decisions

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About Robylon AI

Founded :

2024

Type :

Products & Services

Size :

20-100

Stage :

Raised funding

About

Robylon AI – Agentic Automation for Scalable Customer Support and Business Workflows

Robylon AI is a next-generation agentic AI platform that empowers businesses to automate over 90% of their customer queries and operational workflows across key communication channels; including chat, email, voice, and ticketing; while maintaining 99% accuracy from day one. Designed for scale, speed, and adaptability, Robylon combines the intelligence of large language models with the robustness of human-in-the-loop oversight to deliver enterprise-grade automation without requiring an in-house AI team.

Unlike traditional bots, Robylon operates as an agentic AI worker, meaning it can understand user intent, trigger actions across platforms, adapt to product updates, and continuously learn with minimal intervention. The system is plug-and-play, allowing deployment within minutes and integrations with existing tools and systems. Businesses can automate complex, multi-stage tasks and respond to customers in natural language, across multiple languages, and without scripting every possible input.

One of Robylon’s key differentiators is its transparent pay-per-resolution model. Instead of paying for seats or vague automation tiers, companies only pay for successful outcomes; making ROI instantly measurable and aligning cost with value. With this model, companies typically reduce support costs by 30% or more, while freeing up internal teams from repetitive, low-value tasks.

Key features include:

Agentic AI Workers that mirror human workflows

No-code automation builder for fast task recording and deployment

Multichannel support (chat, email, voice, tickets)

Scheduler and bulk action tools to manage high volumes efficiently

Actionable analytics for continuous optimization

Robylon is ideal for customer support teams, product-led growth companies, operations, HR, and marketing teams looking to scale their services without scaling headcount. As AI becomes central to enterprise growth, Robylon positions itself as a mission-critical tool for forward-thinking teams that want to enhance productivity, improve customer experience, and make intelligent automation a core business advantage.

Robylon AI – Agentic Automation for Scalable Customer Support and Business Workflows

Key features include:

Agentic AI Workers that mirror human workflows

No-code automation builder for fast task recording and deployment

Multichannel support (chat, email, voice, tickets)

Scheduler and bulk action tools to manage high volumes efficiently

Actionable analytics for continuous optimization

Javascript

Java

Python

Candid answers by the company

What does the company do?

What is the location preference of jobs?

Robylon is an Agentic AI platform for Customer Support and pre-sales that automates over 90% of queries across Chat, Email, Tickets and Voice. At Robylon, we deliver 99% accuracy from day one with human-in-the-loop oversight and a transparent pay-per-resolution model.

Company social profiles

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Form link for quicker response:https://forms.gle/HdQPqyWCirDUEgMv5

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Form link for quicker response:https://forms.gle/HdQPqyWCirDUEgMv5

Job Description

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Experience in iOS Development and / or apps on Apple store and must have handled atleast 2 projects.
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Have experience working in an E-Commerce project
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We are looking for an experienced IT MEAN Stack Developer who has an indepth knowledge and skills encompassing the front end, back end, language, Server, API, Database, DevOps processes.

Roles and Responsibilities

Developing front end website architecture
Designing user interactions on web pages
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Ensuring responsiveness of applications
Working alongside graphic designers for web design features
Seeing through a project from conception to finished product.
Designing and developing APIs
Meeting both technical and consumer needs
Staying abreast of developments in web applications and programming languages.

Technical Experience/skills & Qualifications required:

Degree in Computer Science
6 to 8 years of experience in Information Technology with atleast 4+ years in MEAN stack development
Highly experienced with back-end programming languages Ex: Python, Ruby, Java, .NET, JavaScript etc
Proficient experience using advanced JavaScript libraries and frameworks such as AngularJS, ReactJS, Node JS, KnockoutJS, BackboneJS, etc.
Development experience for both mobile and desktop.
Understanding of server-side languages including such-as Jade, EJS, Jinja, etc.
Experience with cloud message APIs and usage of push notifications
Experience in development using the DevOps tools like Kubernetes, GitHub, Jenkins
Experience in developing applications on the cloud platform especially AWS
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Understanding and implementation of security and data protection.
Experience working with JIRA and Gitlab
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Strong exposure to Java /.Net development environment
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Great Object Oriented coding practices, including strong design patterns knowledge, Refactoring, Clean Code, Domain Driven Design, Encapsulation, etc.
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Ability to guide the technical strategy for our clients
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Experience in Testing (manual and automation) of business software applications
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Expertise with Open Source testing tools and Enterprise tools
Strong exposure to Java /.Net development environment
Knowledge of Scripting Languages, like JavaScript, Python, Ruby, etc
Great Object Oriented coding practices, including strong design patterns knowledge, Refactoring, Clean Code, Domain Driven Design, Encapsulation, etc.
Extensive hands-on experience in creating test frameworks and strategy
Exposure to version management tools like SVN or GIT
Familiarity with automated deployment processes (CI & CD)