At Relinns Technologies, we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club. Our in-house product BotPenguin, a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers.We believe in fostering a culture of learning, collaboration, and ownership, ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow!
BotPenguin
BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution.Visit our website here: https://botpenguin.com/
Key Highlights
- 60,000 plus customer onboarded
- 140+ Partners
- Customer across 193 countries
- 4 Million messages triggered per month
Our Tech Stack
- Backend- Node JS, Python, Typescript
- Web Front End- Angular, React, HTML, CSS, Tailwind CSS
- Mobile Apps- React Native
- Database- MongoDB, Elastic Vector DB, AWS RDS
- Hosting & Other Deployment- AWS Suite
- Cache Server- AWS Redis
- Deployment- PM2, Docker, Kubernetes
- LLMs- Open AI, Llama, Claude
- Code Management- GIT LAB
Role Overview
The Tech Architect will own the end-to-end technical architecture and engineering roadmap for BotPenguin, a high-scale SaaS AI chatbot platform. The role requires deep expertise in full-stack development, scalable systems design, cloud infrastructure, DevOps, AI integrations, and product engineering for large user bases. This position is hands-on experience in development, deployment and system design with strategic thought process, requiring collaboration with Product, sales, marketing, and Leadership teams.
Key Responsibilities
Architecture & System Design :
- Define, design, and implement scalable, secure, and resilient architecture for a multi-tenant SaaS platform.
- Lead microservices design, data architecture, and API frameworks.
- Drive modernization, refactoring, and performance optimization.
Product Engineering & Delivery
- Own the technical roadmap for the chatbot platform including new features, AI/LLM integrations, automation workflows, and analytics capabilities.
- Ensure high availability, low latency, and seamless user experience across web, mobile, and integrations.
Technical Leadership
- Lead and mentor engineering teams across MERN/MEAN stack, DevOps, and backend services.
- Enforce coding standards, best practices, and system observability.
DevOps & Infrastructure
- Architect and optimize CI/CD pipelines with the help of the devops team.
- Overlook application deployment using Docker, Kubernetes (if required), and AWS cloud-native services.
- Own uptime, scalability, monitoring, logging, and incident response.
- Work with LLMs, NLP models, vector databases, and conversational AI systems.
- Integrate third-party AI APIs and build in-house AI microservices.
- Oversee AI workflows, training pipelines, and conversational intelligence.
- Implement industry-standard security frameworks across the stack.
- Ensure data privacy, encryption, access control, and vulnerability management.
- Work closely with Product Management to convert business needs into technical solutions.
- Collaborate with QA, UI/UX, and Customer Success to deliver a seamless release cycle.
Technical Experience
- 7-14 years of total software engineering experience.
- Minimum 3+ years as Architect in a Scaled SaaS or large-scale product environment.
- Strong expertise with MEAN/MERN stack - Node.js, Express.js, React/Angular, MongoDB.
- Expert-level backend engineering with microservices, asynchronous systems, and distributed architecture.
- Hands-on experience designing multi-tenant SaaS platforms.
- Strong experience with AWS services: EC2, Lambda, S3, RDS, Elastic Beanstalk, CloudWatch, IAM.
- Proficiency in DevOps tooling: Docker, CI/CD pipelines, GitLab/GitHub, Jenkins, artifact management.
- Experience with infrastructure-as-code (Terraform or CloudFormation preferred).
- Deep knowledge of caching and queues: Redis, SQS, Kafka, RabbitMQ.
- Experience building scalable, low-latency systems and optimizing performance.
- Strong debugging & observability skills: logs, metrics, tracing, monitoring setups.
- Working experience and understanding of Kubernetes.
- Familiarity with ElasticSearch, Redis Streams, and API gateways.
- Experience working with real-time systems (WebSockets, event-driven architecture).
AI / LLM / Chatbot Experience
- Experience working with LLMs such as OpenAI, Claude, Llama.
- Familiarity with NLP pipelines, embeddings, and conversational AI systems.
- Knowledge of vector databases (Elastic, Pinecone, Weaviate, etc.).
- Ability to design or integrate AI microservices and training workflows.
Frontend & Mobile
- Exposure to React, Angular, HTML/CSS/Tailwind.
- Understanding of React Native app integrations (bonus).
Soft Skills
- Strong ownership mindset with product-first thinking.
- Ability to mentor and guide engineering teams.
- Excellent communication, problem-solving, documentation skills.
- Ability to work in a fast-paced, iterative startup environment.
Education (Optional)
- B.Tech/M.Tech in Computer Science or a related field (preferred, not mandatory).
Top Reasons To Work With Us
- Be part of a cutting-edge AI startup driving innovation in chatbot automation.
- Work with a passionate and talented team that values knowledge-sharing and problem-solving.
- Growth-oriented environment with ample learning opportunities.
- Exposure to top-tier global clients and projects with real-world impact.
- Flexible work hours and an emphasis on work-life balance.
- A culture that fosters creativity, ownership, and collaboration.
- Based on performance, this role offers the opportunity for promotion to a VP position.
(ref:hirist.tech)
