About Creatrix Campus Creatrix Campus is a next-generation SaaS platform purpose-built for higher education. With a growing customer base across the USA, UAE, Malaysia, and beyond, Creatrix simplifies operations for universities through AI, automation, and low-code/no-code configurability. Were scaling rapidly and building an architecture-first culture that values performance, reusability, and product innovation. Role Summary: We are seeking a Business Analyst with strong product sense and AI fluency to join our Product Solution Department. You will work closely with Product Owners, Clients, and Engineering teams to define scalable, configurable, and AI-augmented solutions for higher education. You wont be expected to build AI models, but you must be able to leverage AI in your daily work and stay current on trends that affect EdTech. Key Responsibilities: Product & Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation & Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flow Assist in training, adoption material creation, and onboarding guides Required Skills & Qualifications: Domain & Experience 3 - 6 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student Lifecycle) Strong understanding of modular SaaS architecture , workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering , or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics , etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical & Tooling Skills Tools: Jira, Confluence, Luci chart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Project Any AI certifications (e.g., Prompt Engineering, AI Product Management)

Job Title: Product Manager AI-Driven SaaS Solutions Job Description : We are looking for a visionary and execution-focused Product Manager to lead the next generation of our education technology platform. You will own multiple modules across the student lifecycle, streamline existing features, and design world-class, AI-powered SaaS products . This is a high-impact role that demands a combination of domain understanding, systems thinking, and modern product leadership. Key Responsibilities: Product Ownership & Strategy Define and drive the vision, roadmap, and execution of modular SaaS products across key higher education workflows Collaborate with cross-functional teams to align business goals, client needs, and technical feasibility Lead requirement gathering, product discovery, and prioritization sessions Analyze product usage, industry trends, and feedback to make data-informed decisions AI-First Product Development Design and prioritize AI-driven features such as: NLP-based document processing Predictive workflows for student success Recommendation engines for advising or curriculum planning Conversational interfaces and chatbots for support Collaborate with AI engineers and solution teams to validate feasibility and build prototypes Modular, Scalable, Configurable Design Deliver configurable, low-code/no-code module architectures that reduce engineering dependency and allow flexible client setups Ensure regional compliance and localization features are built into each module (e.g., PTPTN, CAA, APEL) Work on integration architecture with third-party platforms and internal tools Execution Leadership Lead sprint planning, backlog grooming, QA sign-offs, and release coordination Coordinate with internal teams (Engineering, QA, Design, BA, Support) for timely delivery Present features in client demos, internal trainings, and roadmap reviews Define success metrics and continuously iterate based on outcomes Required Skills & Qualifications: Experience 5 - 8 years of experience in Product Management, ideally in SaaS or Enterprise EdTech Demonstrated success in owning modular products or complex platforms Prior experience working on AI-enabled products or integrating AI tools into product workflows Technical & Product Fluency Deep understanding of student lifecycle systems (admissions, curriculum, graduation, etc.) Strong grasp of APIs, data models, microservices, and cloud architectures Familiar with AI technologies and frameworks (OCR, LLMs, embeddings, recommender systems) Ability to collaborate with engineers, architects, and AI teams on implementation design Product Design & Execution Proficient in writing PRDs, user stories, and product specs Experienced in Agile/Scrum methodology and sprint lifecycle Strong eye for UX/UI and usability across diverse user groups Hands-on with tools like Jira, Confluence, Figma, Notion, Miro, and Creatrix PMIS Analytical & Communication Strong analytical skills with ability to use data for feature validation Clear communicator can present product decisions to executives and clients alike Highly collaborative across departments, time zones, and cultural contexts Nice to Have: Experience in higher education accreditation or compliance workflows Exposure to no-code platforms or platform-as-a-service products Any AI certifications or hands-on project experience with LLMs, prompt engineering, or model design

Were Creatrix Campus and Anubavam building cutting-edge AI-powered SaaS for higher education. Weve built the foundation with a dedicated, passionate marketing team, and now were ready for strategic lift-off. We're looking for a senior marketing consultant who can take our GTM, branding, and global campaigns to the next level. Roles and Responsibilities : Translate our vision and 5-year goals into an actionable marketing strategy Define regional go-to-market plans (Malaysia, UAE, USA, etc.) Align our execution teams (SEO, content, paid ads, events, video) under a unified plan Plan and support digital + offline campaigns (events, email, webinars, ABM) Audit and guide our current brand, messaging, and martech stack Build a marketing org structure and KPIs for scale Work closely with the CEO and leadership team Skills Required : 10+ years of experience in B2B SaaS , preferably in EdTech or enterprise software Proven success in scaling marketing teams and revenue Experience working with founders and junior teams Strategic thinker who also knows how to roll up sleeves when needed Strong grasp of content, demand gen, SEO, performance marketing, and event strategy Bonus: Experience with marketing automation, brand revamps, AI-driven tools Why Join Us? Shape a global SaaS brand thats changing higher education Work directly with the CEO and founding team Opportunity to convert into a permanent leadership role (Head of Marketing) Flexible hours and purpose-driven culture Share your resume@ shyamala.julian@anubavam.com

Job Title: SaaS AI Architect Location: Chennai Experience: 5 to 8+ Years Industry: IT Services / Software Product Department: Engineering / Product Development Employment Type: Full Time, Permanent About Anubavam Anubavam is a global software innovation company with over 15 years of experience delivering scalable digital solutions to clients in more than 25 countries. Our mission is to transform education and enterprise experiences through cutting-edge technology. Our flagship product, Creatrix Campus , is an AI-powered SaaS platform that enables end-to-end student lifecycle management for higher education institutions. About Creatrix Campus Creatrix Campus is a next-generation SaaS platform built specifically for higher education institutions. With a growing customer base across the USA, UAE, Malaysia, and other regions, Creatrix simplifies academic operations through AI, automation, and low-code configurability. The platform is designed to be modular, scalable, and performance-oriented. We are rapidly expanding and fostering an architecture-driven engineering culture. Role Overview We are seeking an experienced SaaS AI Architect to lead the architectural modernization of our core platform, transition monolithic components into microservices, and design AI-ready backend systems. The ideal candidate will have strong hands-on experience in Python development, a product-oriented mindset, and the ability to collaborate across functional teams to deliver enterprise-grade software. Key Responsibilities Lead the transition from legacy PHP monoliths to scalable Python-based microservices. Design and implement API-first, modular, and cloud-native backend components. Build backend engines to support schema-driven UI, dynamic workflows, and metadata-based configurations. Drive configurability and extensibility for low-code/no-code development needs. Integrate AI/ML APIs including OCR, NLP, recommendation engines, and LLMs such as OpenAI. Ensure AI services are modular, efficient, and scalable for production use. Implement and manage CI/CD pipelines, Docker containers, and Git-based workflows. Optimize backend performance, system reliability, and scalability across environments. Work closely with Product Managers, QA teams, UI/UX designers, and global delivery teams to ensure timely and high-quality releases. Contribute to technical documentation and mentoring of engineering teams. Must-Have Skills and Experience 5 to 8 years of backend engineering experience, with a strong focus on Python (FastAPI or Django). Expertise in microservices architecture, RESTful APIs, Docker, and Git. Experience in modernizing legacy PHP systems to Python. Practical exposure to AI/ML APIs (OCR, NLP, LLMs) and their integration into backend systems. Experience in building metadata-driven or configurable engines (e.g., dynamic forms, workflow builders). Strong understanding of API security, authentication, rate limiting, and secure data handling. Preferred Qualifications Prior experience working with Higher Education systems such as SIS, LMS, or accreditation tools. Familiarity with low-code/no-code platforms (e.g., n8n, Camunda). Experience working in fast-paced SaaS environments with Agile methodologies. Knowledge of PostgreSQL, Redis, GraphQL, and event-driven architectures. Why Join Anubavam Technologies! We believe in creating a workplace that is engaging, rewarding, and growth-focused. Heres what you can expect: Competitive compensation based on experience and market standards Flexible work hours and hybrid work options Health insurance coverage for employees and dependents Annual performance bonuses and recognition programs Learning and development allowance to support certifications and upskilling Clear career paths and growth into senior platform or SRE roles Positive, inclusive team culture focused on collaboration, innovation, and shared success Opportunities to work on global SaaS products used by top universities worldwide A chance to make a real impact by supporting the digital transformation of education How to Apply Interested candidates may send their resumes to Pothis.karan@anubavam.com

Role Summary As part of our AI-first strategy at Creatrix Campus , you'll play a critical role in deploying, optimizing, and maintaining Large Language Models (LLMs) like LLaMA, Mistral, and CodeS across our SaaS platform. This role is not limited to experimentationit is about operationalizing AI at scale. Youll ensure our AI services are reliable, secure, cost-effective, and product-ready for higher education institutions in 25+ countries. Youll work across infrastructure (cloud and on-prem), MLOps, and performance optimization while collaborating with software engineers, AI developers, and product teams to embed LLMs into real-world applications like accreditation automation, intelligent student forms, and predictive academic advising. Key Responsibilities LLM Deployment & Optimization Deploy, fine-tune, and optimize open-source LLMs (e.g., LLaMA, Mistral, CodeS, DeepSeek). Implement quantization (e.g., 4-bit, 8-bit) and pruning for efficient inference on commodity hardware. Build and manage inference APIs (REST/gRPC) for production use. Infrastructure Management Set up and manage on-premise GPU servers and VM-based deployments. Build scalable cloud-based LLM infrastructure using AWS (SageMaker, EC2), Azure ML, or GCP Vertex AI. Ensure cost efficiency by choosing appropriate hardware and job scheduling strategies. MLOps & Reliability Engineering Develop CI/CD pipelines for model training, testing, evaluation, and deployment. Integrate version control for models, data, and hyperparameters. Set up logging, tracing, and monitoring tools (e.g., MLflow, Prometheus, Grafana) for model performance and failure detection. Security, Compliance & Performance Ensure data privacy (FERPA/GDPR) and enforce security best practices across deployments. Apply secure coding standards and implement RBAC, encryption, and network hardening for cloud/on-prem. Cross-functional Integration Work closely with AI solution engineers, backend developers, and product owners to integrate LLM services into the platform. Support performance benchmarking and A/B testing of AI features across modules Documentation & Internal Enablement Document LLM pipelines, configuration steps, and infrastructure setup in internal playbooks. Create guides and reusable templates for future deployments and models. Required Qualifications Education: Bachelors or Masters in Computer Science, AI/ML, Data Engineering, or related field. Technical Skills: Strong Python experience with ML libraries (e.g., PyTorch, Hugging Face Transformers). Familiar with LangChain, LlamaIndex, or other RAG frameworks. Experience with Docker, Kubernetes, and API gateways (e.g., Kong, NGINX). Working knowledge of vector databases (FAISS, Pinecone, Qdrant). Familiarity with GPU deployment tools (CUDA, Triton Inference Server, HuggingFace Accelerate). Experience: 3+ years in an AI/MLOps role, including experience in LLM fine-tuning and deployment. Hands-on work with model inference in production environments (both cloud and on-prem). Exposure to SaaS and modular product environments is a plus.

We are seeking a highly skilled and detail-oriented Senior Financial Analyst to join our finance team. This mid-level role is pivotal in building a robust financial framework that supports the company growth and aligns with our strategic objectives. The ideal candidate will have over 5 years of experience in financial planning, forecasting, budgeting, and model building, preferably in software companies with multinational operations. A strong understanding of SaaS pricing structures, revenue models, and surplus management is essential. Key Responsibilities 1. Financial Planning and Analysis (FP&A): Develop detailed financial models to forecast revenue, expenses, and profitability. Build and manage the annual budgeting process, aligning with company goals. Monitor key performance indicators (KPIs) and provide actionable insights to leadership. 2. Pricing and Revenue Models: Design scalable and competitive SaaS pricing structures tailored to various markets. Conduct market research to analyze customer segmentation and price sensitivity. Optimize subscription pricing to enhance customer lifetime value (CLTV) and reduce churn. 3. Strategic Financial Modeling: Create scenario-based models for new product launches and regional expansion plans. Assess ROI for strategic initiatives, including AI-powered features and market penetration strategies. 4. Budget Management and Variance Analysis: Track and report budget performance, including variance analysis against forecasts. Collaborate with regional teams to consolidate budgets and ensure consistency. 5. Cross-Functional Collaboration: Partner with sales, marketing, and product teams to align financial goals with operational objectives. Support leadership with data-driven insights for decision-making at both strategic and operational levels. 6. Compliance and Reporting: Support the finance team in consolidating regional financial data into unified reports. Ensure adherence to global standards (e.g., IFRS/US GAAP) in financial modeling and reporting. Qualifications Education: MBA in Finance or a related field (mandatory). Experience: 5+ years in financial planning and analysis, preferably in SaaS companies or multinational organizations. Proven expertise in pricing models, forecasting, budgeting, and financial modeling. Strong knowledge of SaaS metrics such as ARPU, CAC, CLTV, and churn. Experience with financial tools like Power BI, Tableau, or ERP systems (Odoo preferred). Solid understanding of multi-currency financial operations and compliance. Key Skills Advanced proficiency in Excel (financial modeling) and data visualization tools. Strong analytical and problem-solving skills with attention to detail. Ability to communicate complex financial data effectively to both technical and non-technical stakeholders. Collaborative mindset with experience working across teams and regions. Preferred Experience Worked in companies with operations across the U.S., UAE, Malaysia, and India. Background in handling financial planning for high-growth SaaS companies. Familiarity with surplus management and subscription revenue optimization.

Job Summary: We are seeking a Senior Python Lead Developer to build and scale high-performance applications. You should be an expert in Python, FastAPI, Django, Flask , Celery and have experience with asynchronous programming, databases, and microservices . Node.js and Svelte.js experience is a plus. Responsibilities: Develop and maintain scalable Python applications. Build APIs and microservices with FastAPI, Django, Flask . Optimize MySQL and PostgreSQL performance. Implement async programming for efficiency. Manage RabbitMQ, Kafka, and Redis for messaging and caching. Deploy applications on AWS (EC2, Lambda, RDS, S3, ECS). Use Docker and Kubernetes for containerization. Integrate Elasticsearch for search and indexing. Collaborate with Node.js and Svelte.js teams. Mentor junior developers. Skills Required: Python (Expert level) decorators, context managers, metaclasses. FastAPI, Django, Flask Strong experience. Databases: MySQL, PostgreSQL, SQLAlchemy ORM. Message Queues: RabbitMQ, Kafka. Cloud & DevOps: AWS, Docker, Kubernetes. Optimization: Performance tuning, caching, indexing. Bonus: Experience with Node.js, Svelte.js . Requirements Technical Skills : Strong understanding of Python internals and advanced features (e.g., decorators , meta classes , context managers ) Extensive experience with Fast API , Django , Flask in designing and scaling applications Advanced knowledge of asynchronous programming (e.g., asyncio , multithreading , multiprocessing ) Proficiency in writing non-blocking , highly responsive code Expertise in MySQL and PostgreSQL Experience with database switching based on tenant or environment Strong knowledge in SQL optimization , indexing , partitioning , and performance tuning Expert knowledge of SQL Alchemy , with experience in building and maintaining complex ORM models and relationships Expertise in managing and scaling RabbitMQ and Kafka Strong understanding of queueing strategies and worker management for high-throughput data pipelines Experience with Redis for caching, session management, and improving application performance Proficient in deploying applications on AWS EC2 , AWS Lambda Experience with containerization (e.g., Docker ) and orchestration tools (e.g., Kubernetes ) Knowledge of AWS services (e.g., RDS , S3 , ECS ) and experience in managing cloud infrastructure Experience in configuring, indexing, and optimizing Elasticsearch for full-text search and analytics Proficient in designing scalable, high-availability architectures, especially microservices architecture Deep understanding of design patterns such as CQRS , event-driven , and pub/sub for distributed systems Experience in RESTful API design , GraphQL (optional), and creating modular, reusable codebases Expertise in code profiling and optimization for high-performance applications Advanced knowledge of SQL indexing , caching strategies , data denormalization , and other optimization techniques Experience in memory management and handling data-intensive applications

Job Title: Fullstack Developer Python | Angular | AI-Powered Development Location: Chennai Experience Required: 5 - 8 Years Industry: EdTech | SaaS | Low-Code Platforms Employment Type: Full-Time About the Role We are hiring an experienced Fullstack Developer with a strong foundation in Python (FastAPI/Django) and Angular (TypeScript) to join our fast-growing EdTech team. In this role, you will modernize legacy systems, develop modular frontend/backend features, and embrace AI-powered development workflows using tools like GitHub Copilot and Cursor. Youll work on globally-used SaaS platforms that power higher education institutions, designing scalable microservices, building interactive UIs, and orchestrating data pipelines — all in a DevOps-enabled, low-code/metadata-driven environment. Key Responsibilities: Legacy Modernization: Refactor legacy PHP systems into scalable, Python-based microservices (FastAPI/Django). Microservices Development: Design secure, RESTful APIs with JWT/OAuth2 authentication and rate limiting. Frontend Development: Build dynamic, responsive Angular components using modern UI/UX and accessibility best practices. AI-Augmented Coding: Use AI tools (Copilot, Cursor) for boilerplate generation, unit testing, and productivity boosts. Reusable Component Architecture: Develop dynamic form renderers, rule engines, workflow builders, and modular libraries. Workflow Automation: Implement task orchestration using Apache Airflow for scheduled and event-based pipelines. Stream Processing: Integrate Kafka-based pub-sub systems for real-time, multi-tenant data streams. DevOps Collaboration: Contribute to CI/CD (GitHub Actions, GitLab, ArgoCD), containerization (Docker, Kubernetes), and cloud deployment (AWS/OCI). Quality & Collaboration: Engage in peer code reviews, architectural discussions, and Agile ceremonies. Must-Have Skills: 5–8 years of fullstack experience in production-grade environments. Strong backend expertise with Python (FastAPI, Django, Flask) . Advanced frontend skills in Angular, TypeScript, RxJS . Hands-on with Docker, Kubernetes , and CI/CD pipelines. Experience with OAuth2/JWT , test automation (pytest, Jasmine, Karma). Familiarity with cloud platforms like AWS or OCI. Proven track record with Apache Airflow, Kafka , and microservice design. Experience in modernizing PHP codebases . Good-to-Have (Bonus) Experience in EdTech, Higher Education , or student lifecycle systems. Exposure to low-code/no-code platforms , rule engines (Camunda, n8n). Knowledge of GraphQL, PostgreSQL, Redis , or event-driven systems. Involvement in AI tooling ecosystems or LLM-based workflows. Development Culture AI-First Coding Environment – AI tools used daily for scaffolding, documentation, and testing. Modern DevOps Stack – GitOps, IaC with Terraform/Pulumi, Helm/K8s automation. Code Quality First – Automated linting, security checks, and continuous testing. Why Join Anubavam? Work on impactful AI-enabled SaaS products in the education domain. Flexible work with competitive compensation . Comprehensive health insurance for employees and dependents. Performance bonuses, career growth, and global exposure. Upskilling support , training budget, and mentorship. Apply Now Send your resume to: Pothis.karan@anubavam.com Subject: “Application for Fullstack Developer – Python | Angular”

Company Description Founded in 2006, Anubavam is a global technology company specializing in web, mobile, and cloud-based solutions. With over 250+ successful projects delivered across industries, we are the creators of Creatrix Campus – an end-to-end EdTech platform empowering higher education institutions worldwide. Headquartered in Chennai with a presence in the US, UAE, and Malaysia, we serve clients in 24+ countries. At Anubavam, we combine innovation, deep domain expertise, and a people-first approach to drive digital transformation and make a lasting global impact. Role Description This is a full-time, on-site role for an AI Architect at Anubavam in Chennai. The AI Architect will be responsible for technical architecture, software development, solution architecture, integration, and enterprise architecture on a day-to-day basis. Years of Experience : 6+ Years Key Responsibilities: Re-architect PHP monoliths into scalable microservices (Python-first). Design API-first, cloud-ready components. Build backend engines for schema-driven UIs, dynamic workflows, and metadata configurations. Embed AI APIs: LLMs (e.g., OpenAI), OCR, NLP, recommendation engines. Ensure modularity and performance across AI-ready services. Implement CI/CD pipelines, Dockerization, Git workflows. Optimize backend performance, fault tolerance, and scale. Work closely with Product, QA, UI/UX, and Delivery teams across global tracks. Key Requirements: 5–8 years backend experience with strong Python skills (FastAPI/Django). Expertise in Docker, Git, REST APIs, and microservices. Experience with API security, rate limiting, and secure data flows. Modernization of PHP legacy systems to Python. Built configurable or metadata-driven engines (e.g., dynamic forms). Exposure to AI/ML APIs (OCR, NLP, LLMs) — usage/integration experience required. Experience with Higher Ed systems (SIS, LMS, accreditation tools). Familiarity with no-code/low-code tools or engines (e.g., n8n, Camunda). Worked in a fast-growing SaaS company with Agile processes. Knowledge of PostgreSQL, Redis, GraphQL, or event-driven systems