PythonRole Overview
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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Robylon AI
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.
Tech stack
Javascript
JavaPythonCandid answers by the company
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.
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· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.
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· Knowledge of Azure Databricks or other data processing frameworks.
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What we need?
· B. Tech computer science or equivalent.
Experience: 3-8 years
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- Jenkins hands-on
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- Analyze results of tests and to be able to update existing test suits after API changes
- Basic Knowledge about CI/CD Concepts
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Expertise in using build tools like Maven and Gradle tools for building deployable
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Frontend skills: Java Script
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Web/Application servers: Tomcat, Nginx
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Project management tool: Jira
Operating System: Linux/Ubuntu, Windows environment
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Significant coding skills in Java, with other languages being a major plus.
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HTML/CSS
jQuery
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon