Cybotrix Technologies Pvt Ltd

Job Requirements: • Good communication and interpersonal skills. • Visit medical colleges for sales promotion and data collection. • Drive sales through warm calling, student engagement, and course promotion. • Close deals and achieve assigned sales targets. • Handle student queries and coordinate with students, faculty, and parents. • Follow up on course fee payments. • Travel across Hyderabad for college visits and marketing campaigns. • Visit our Chennai branch twice a month for meetings. 

Role Overview

We are looking for a strong Senior Python Engineer with hands-on AI/ML and Automation experience to join

our engineering team.

The engineer will work on high-scale backend systems, intelligent automation platforms, OCR/document

processing, AI-powered workflows, browser automation and integrations across multiple products.

This is not a role for someone whose AI experience is limited to calling LLM APIs. We need an engineer who

understands Python deeply and has built, deployed and maintained real production systems.

Experience Requirements

l Minimum 4 years of professional software development experience, primarily using Python.

l Minimum 2 years of practical hands-on experience in AI/ML, intelligent automation or closely related production

systems.

l Candidates with 4-6+ years of strong relevant experience are preferred.

l Strong production/backend engineering experience is essential.

Core Python & Backend Skills

l Python; FastAPI / Django / Flask; REST APIs and backend service development.

l Async programming and concurrency; multithreading / multiprocessing where appropriate.

l PostgreSQL / MySQL; Redis; background jobs and task queues such as Celery.

l WebSockets / real-time communication where required; authentication and authorization; API integrations.

l Docker; Linux; Git; logging, debugging and production troubleshooting.

l Ability to build fast, reliable and scalable Python services rather than only scripts.

AI / ML Requirements

l Machine Learning fundamentals; model training, evaluation and inference; data preprocessing and feature

engineering.

l Scikit-learn; PyTorch or TensorFlow; NLP.

l Embeddings, semantic search and vector databases.

l LLM integrations, prompt engineering, structured output and tool/function calling.

l RAG pipelines; AI agents / agentic workflows.

l OpenAI, Gemini, Claude or equivalent integrations; local/open-source model integration where appropriate.

l Understanding of model selection, accuracy, latency and cost trade-offs.

Automation Engineering

l Playwright; Puppeteer or equivalent browser automation frameworks; Selenium where appropriate.

l Headless browser and web workflow automation; form/repetitive task automation.

l Session/cookie management; file upload/download automation; API + browser hybrid automation.

l Retry and recovery mechanisms; scheduling and background execution.

l Queue-based automation workers; parallel/concurrent task processing.

Role Overview

We are looking for a visionary yet hands-on Technical Architect who can define enterprise-wide architecture,

technology strategy and engineering standards across multiple products and platforms. The role is expected to

translate business requirements into scalable technical solutions, guide engineering teams, reduce technical risk,

and remain actively involved in implementation when required. This is not a purely advisory or documentation role:

the Architect may be required to contribute directly to production-quality code, prototypes, critical modules, technical

fixes and architectural proof-of-concepts.

Key Responsibilities

• Define enterprise architecture strategy, target architecture and technology roadmap across products and platforms.

• Design scalable, secure, resilient and maintainable systems aligned with business and product objectives.

• Architect cloud-native, distributed, microservices and multi-tenant SaaS solutions.

• Convert product/business requirements into clear architecture, technical designs, service boundaries, data models

and API contracts.

• Establish architecture governance, coding standards, engineering best practices, design principles and technical

decision records.

• Conduct architecture reviews, design reviews, code reviews and technical risk assessments.

• Identify bottlenecks, scalability concerns, security risks and technical debt, and drive practical remediation plans.

• Drive modernization initiatives, technology evaluation and technical investment decisions.

• Mentor and guide Technical Leads, Senior Engineers and other engineering members.

• Collaborate closely with Product, Engineering, QA, DevOps, Security and business stakeholders.

• Support estimation, technical planning, solution feasibility and delivery planning for new products and major

features.

Hands-on Coding & Engineering Responsibility

• The role is explicitly hands-on. When required by project priorities, the Technical Architect will contribute directly to

coding and implementation—not only architecture and reviews.

• Develop production-quality backend, frontend or integration components where architectural complexity, criticality or

delivery timelines require Architect-level involvement.

• Build technical prototypes, Proofs of Concept (PoCs), reference implementations and reusable frameworks to

validate architectural decisions.

• Assist engineers in debugging complex production or development issues and provide root-cause analysis.

• Contribute to performance optimization, scalability improvements, security fixes and critical technical modules.

• Review and improve existing codebases and guide refactoring/modernization without losing delivery focus.

• Pair with engineers when necessary to transfer architecture decisions into working code and establish

implementation patterns.

• Remain capable of switching between architecture, design, coding, review and technical troubleshooting based on

business/project requirements.

Core Technical Expertise

• Programming: JavaScript, TypeScript, Python, Go (Golang), Java / Spring Boot

• Architecture: DDD, SOA, API-First, Distributed Systems, Multi-Tenant SaaS

• Backend: Node.js, Express.js, Identity, Authentication/Authorization, Messaging

• Data: MongoDB, Redis, Data Modeling, Query/Performance Optimization

• Frontend/Mobile: React.js, React Native

• AI: LangChain, Gemini, RAG, AI Agents, OCR

• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD

• Security: SSDLC, API Security, Encryption, Governance

• Integrations: WhatsApp Business, Payment Gateways, Enterprise APIs

Product & Engineering Expectations

• Strong understanding of building production-grade software products rather than isolated applications or

proof-of-concepts only.

• Ability to balance ideal architecture with business timelines, budget, maintainability and team capability.

• Comfort working in an evolving product-company environment where requirements may change and multiple

initiatives may run in parallel.

• Ability to make pragmatic technology choices and clearly explain trade-offs to both technical and non-technical

stakeholders.

• Ownership mindset: identify problems proactively, propose solutions and follow through until the technical outcome

is delivered.

• Strong emphasis on reliability, security, observability, performance, scalability and maintainability from design

through production.

Leadership & Collaboration

• Mentor Technical Leads and senior engineers and help establish a strong engineering culture.

• Set clear technical direction without creating unnecessary process or bureaucracy.

• Participate in hiring and technical evaluation of senior engineering candidates when required.

• Help define technical interview standards and assess architecture, coding and problem-solving capability.

• Work directly with leadership to communicate architecture decisions, technical risks, dependencies and delivery

implications.

• Promote documentation of important architecture decisions, APIs, dependencies and operational considerations.

Preferred Qualifications

Experience in FinTech, SaaS, AI platforms, cloud-native architectures and enterprise-scale distributed systems.

Nice to Have

Kafka, GraphQL, Serverless, Machine Learning Platforms, Multi-Cloud Architecture.

What We Expect From the Right Candidate

The ideal candidate

Job Title: IT Application Support Engineer

Main Responsibility:

 Provide application support to KHS Worldwide users

 Handle first- and second-line support for engineering applications (Creo, AutoCAD, Catia

etc.) and other applications

 Diagnostic application error on client computers and resolve incidents, service requests,

and other issues in a timely manner.

 To able to installation & configuration of application support & handle to configure server

components

 Regularly monitor application performance and maintain the availability of application for

users

 Analyze recurring problems and identify long-term solutions.

 Create and maintain technical documentation, user guides (SOP), and knowledge base

articles.

 Support to users & other team members for application upgrades, patches, and

maintenance schedules.

 Handle integrations project, testing new application before deployments rollout.

 Provide training and support to end users on application functionality.

Qualifications:

 Bachelor’s degree in computer science, Information Technology, or a related field.

 2+ years of experience in application support, software maintenance, or a related IT role.

 Understanding of Windows (Client / Server) environments.

 Familiarity with ticketing systems (e.g. Topdesk, ServiceNow, JIRA etc.)

 Basic scripting knowledge (e.g.Java, C#, Visual Basic, PowerShell, Python) is a plus.

 Strong analytical, problem-solving, and communication & English-speaking skills.

 Ability to work independently

The UX Designer + UI Developer is responsible for designing intuitive user experiences and building high-quality user interfaces for a complex, workflow-driven ERP system. This role is critical in ensuring that non-technical users such as legal, compliance, finance, and HR teams can efficiently navigate and operate within a feature-rich ERP platform. The role combines UX thinking with hands-on frontend development, making it essential for a lean, high-impact product team.

Job Description:

● Understand business workflows, user personas, and enterprise use cases.

● Design user journeys, wireframes, prototypes, and information architecture.

● Simplify complex ERP workflows into intuitive and efficient user experiences.

● Convert designs into functional UI components and build responsive, scalable front-end interfaces.

● Ensure pixel-perfect implementation and maintain reusable component libraries and design systems.

● Design multi-step workflows, role-based dashboards, and data-heavy screens such as tables, reports, and forms.

● Optimize task efficiency and reduce clicks and cognitive load.

● Handle edge cases in workflows such as errors, exceptions, and escalations.

● Create and maintain design systems including colours, typography, and components.

● Ensure consistency across modules.

● Collaborate with developers to standardise UI patterns.

● Work closely with the Product Manager and Developers for feature clarity and implementation feasibility.

● Participate in sprint planning, design reviews, and feature discussions.

● Design dashboards for financial data, compliance tracking, and business metrics.

● Ensure clarity in complex data representation.

● Use Gen AI as a force multiplier.

Qualifications:

● Bachelor's degree in Design / Computer Science / IT / Engineering.

● 6-8 years of experience in UX design and frontend development.

● Experience in enterprise applications / ERP / SaaS platforms.

● Strong portfolio demonstrating complex workflow design and data-heavy UI.

● Tools: Figma / Adobe XD / Sketch.

● Skills: wireframing, prototyping, user journey mapping, and information architecture.

● Strong in React / Angular / Vue, preferably React.

● Skills in HTML5, CSS3, JavaScript / TypeScript, responsive design, and component-based architecture.

● Experience in building and maintaining design systems.

● Knowledge of UI frameworks such as Material UI and Tailwind.

● Experience with tables, sorting, filtering, pagination, and charts

Role Overview

• Role: Senior DevOps / CloudOps Engineer
• Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
• Environment: Scale-Up product ecosystem demanding Startup Agility

Key Responsibilities

• Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
• IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
• CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
• Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
• Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
• Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability

Required Skills & Qualifications

• Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
• Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
• Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
• Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
• Scripting & Automation: Good scripting fundamentals in Python, Bash
• Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.

Role Summary

The QA Engineer (Automation + Manual) is responsible for ensuring the quality, reliability, and compliance

readiness of the ERP platform. This role involves end-to-end testing of complex workflows, including compliance

processes, legal case management, and multi-entity operations. The QA will play a critical role in preventing

defects in high-risk areas such as accounting, regulatory filings, and audit trails, while also building automation

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

• Understand business requirements, technical architecture, and ERP workflows.

• Create test strategies and test plans covering functional, integration, and regression testing.

• Identify high-risk areas such as compliance deadlines, approvals, and workflow dependencies.

• Perform functional testing of ERP modules and end-to-end workflow testing.

• Validate complex business scenarios and multi-role workflows such as admin, compliance officer, and accountant.

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

• Design and develop automated test scripts for UI and APIs.

• Build scalable automation frameworks.

• Automate regression suites and critical workflows such as compliance filings, approvals, and calculations.

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

• Test integration points with third-party APIs and government portals.

• Test multi-step approval workflows, RBAC, and document lifecycle flows.

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

• Log clear, reproducible bugs and track defects through the lifecycle.

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

• Work closely with the Product Manager and developers for requirements clarity and early testing.

• Participate in sprint planning, daily standups, and sprint demos.

• Use Gen AI as a force multiplier.

Qualifications

• Bachelor's degree in Computer Science / IT / Engineering.

• 5-7 years of experience in QA, including manual and automation testing.

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

• Strong expertise in test case design, exploratory testing, and workflow validation

Role Overview

The Embedded Firmware Engineer will be responsible for development, testing, debugging, and maintenance of embedded firmware for EV Charger and IoT-based products using ESP32 platforms. The role involves working closely with hardware, cloud, mobile application, and testing teams to develop reliable and production-ready embedded solutions.

The candidate should have strong hands-on experience in Embedded C programming, ESP-IDF framework, RTOS-based firmware development, peripheral interfacing, communication protocols, and debugging of embedded systems. Knowledge of EV charging systems, charger communication protocols, and industrial embedded product development is highly preferred.

Key Responsibilities

• Develop embedded firmware in C for ESP32-based embedded systems.

• Work extensively on ESP-IDF framework for application development.

• Design modular, reusable, and scalable firmware architecture.

• Develop low-level drivers and middleware for embedded peripherals.

• Implement multitasking applications using FreeRTOS.

• Optimize firmware for performance, memory utilization, stability, and low power operation.

• Perform firmware integration with hardware modules and external systems.

• Develop and debug firmware for UART, SPI, I2C, CAN, GPIO, ADC, PWM, Ethernet, Wi-Fi, BLE, RS485, and Modbus communication.

• Interface embedded systems with energy meters, display modules, RFID modules, relays/contactors, sensors, and communication modules.

Designation: AI Adoption specialist/AI Consultant

Location: Ahmedabad

Work Timings: Primarily Normal Shift (Flexible to support US clients)

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

 Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.

 Assess client requirements and prepare solution strategies using AI tools and methodologies.

 Work with internal teams to design, propose, and help execute AI-powered solutions.

 Provide AI-based recommendations that align with the client’s business objectives.

 Communicate technical possibilities in a business-friendly manner to decision-makers.

 Take ownership of the client journey from discovery to implementation and support.

 Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:  Minimum 2+ Years of hands on experience into Custom AI Development.  Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.  Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologis).  Some hands-on experience in AI projects – either through execution, coordination, or implementation.  Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.  Flexible to work with international clients, especially in the US time zone as needed.

Job Overview

We are looking for an experienced AI/ML Engineer with strong full-stack development skills to design, develop, and deploy AI-powered applications. The ideal candidate should be proficient in Python backend development, frontend technologies, and LLM integration, with the ability to build end-to-end AI-native products, custom dashboards, and lightweight applications.

This role focuses on applying AI to real-world business problems through rapid prototyping, prompt engineering, Retrieval-Augmented Generation (RAG), and scalable application development.

Key Responsibilities

• Design, develop, and deploy end-to-end AI-powered applications.
• Build backend services and REST APIs using Python.
• Develop responsive frontends using React, Next.js, or similar frameworks.
• Integrate LLM APIs such as OpenAI, Claude, and Hugging Face into production applications.
• Build custom dashboards, internal tools, micro-apps, and AI-driven business solutions.
• Implement prompt engineering, embeddings, RAG pipelines, and context-aware AI systems.
• Rapidly prototype and validate ideas using modern AI-assisted development workflows.
• Optimize application performance, scalability, reliability, and AI usage costs.
• Work with data processing libraries such as Pandas and NumPy.
• Collaborate with product and business teams to translate requirements into functional AI solutions.
• Take ownership of features from ideation and development through testing, deployment, and production support.

Required Skills & Qualifications

• 2+ years of experience in software engineering, AI engineering, or application development.
• Strong proficiency in Python and backend development.
• Hands-on experience with React, Next.js, or similar frontend technologies.
• Practical experience integrating LLM APIs such as OpenAI, Claude, or Hugging Face.
• Understanding of REST APIs, microservices, and system design principles.
• Knowledge of prompt engineering, embeddings, and RAG architectures.
• Experience with data processing using Pandas and NumPy.
• Ability to independently build, test, and deploy full-stack applications.
• Strong problem-solving, debugging, and analytical skills.
• Ability to work in a fast-paced environment with a strong ownership mindset.

Good to Have

• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, or Supabase.
• Experience building AI chat interfaces, copilots, assistants, and custom dashboards.
• Familiarity with cloud platforms, application deployment, and production monitoring.
• Experience with AI-assisted coding tools and rapid prototyping workflows.

What We Are Looking For

• A full-stack AI engineer who is comfortable working across both backend and frontend development.
• Someone focused on building practical AI-powered products rather than only training machine learning models.
• A developer who can prototype quickly, validate ideas, and iterate efficiently using a “vibe coding” approach.
• A self-driven professional who can take ownership of a feature from concept to production.

Please note that this job is only for Ahmedabad location.