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Integration Engineer
Integration Engineer

Integration Engineer at Robylon AI · Bengaluru (Bangalore) · 0 - 2 years · ₹5L - ₹6L / yr · Raised funding · Posted 5 Jul 2025

Robylon AI's logo

Integration Engineer

Listings Robylon's profile picture
Posted by Listings Robylon
0 - 2 yrs
₹5L - ₹6L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
Generative AI
Prompt engineering

Role 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



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About Robylon AI

Founded :
2024
Type :
Product
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.

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Tech stack

skill iconJavascript
skill iconJava
skill iconPython

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.

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In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).


Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux


Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

  • Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
  • Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
  • Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

  • Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
  • Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
  • Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

  • Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
  • Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

  • Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
  • Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
  • Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
  • Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).


Required Qualifications & Skills :

  • Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
  • Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
  • Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
  • CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
  • Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
  • Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
  • Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
  • Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
  • Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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