Job Description

Tech Architect

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:

Key Highlights

60,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month

Our Tech Stack:

Component

Tool/Technologies

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.

Job Type: Full-time

Pay: ?3,500,000.00 - ?4,500,000.00 per year

Work Location: In person