About the jobPosition: Product Engineer – PlatformLocation: Remote (India)Experience: 0–2 YearsType: Full-time/"How do you know an AI platform actually works? You build real apps on it. You train real models. You connect real data sources. You push it until it breaks. That's this job - build to validate./" Not just testing. Building. Interested?About KatonicWe are a Sovereign Enterprise AI Company. Founded in Sydney in 2020, we've grown into a profitable global operation powering AI infrastructure for enterprises and governments across 11 countries. Our platform runs entirely within customer infrastructure - zero data egress, zero vendor lock-in.Our platform - 250+ AI models, 80+ pre-built agents, ISO 27001 certified. Used by enterprises who report up to 80% increase in workflow efficiency.Role OverviewWe're hiring 2 Product Engineers for our AI Studio team. Your job is to validate the platform by actually using it - building real applications, training real models, and pushing features to their limits. If something doesn't work, you'll find it before our customers do.This is not traditional testing. You'll be building:Full-stack AI applications using our SDK and APIsML pipelines that train, evaluate, and deploy modelsIntegrations with Salesforce, databases, and external systemsNotebooks that process real datasetsAutomated workflows using our agent builder We're hiring two profiles:Developer Profile: Build apps using APIs, SDKs, integrationsData Science Profile: Build ML pipelines, train models, run experimentsWhat You'll Build WithAI Studio is where data scientists and developers build AI. You'll use all of it:Pro-Code Workspaces: JupyterLab, VS Code - full development environmentsNo-Code Agent Builder: Drag-and-drop AI application creationData Connectors: Salesforce, SAP, Google Drive, databases, APIsML Pipelines: End-to-end model training, validation, deploymentExperiment Tracking: MLflow integration for tracking runs and metricsModel Registry: Version control for ML modelsSDKs & APIs: Python SDK, REST APIs for programmatic accessGit Integration: Version control for notebooks and codeWhat You'll Do (Developer Profile)· Build sample applications using our Python SDK to validate functionality· Create integrations with external systems (Salesforce, SAP, databases) and verify they work· Develop API-based workflows to test authentication, authorization, and data flows· Build and deploy containerized apps on the platform· Create Git-based projects to validate version control features· Write scripts that stress-test APIs and identify performance limits· Document issues found with clear reproduction steps and sample code· Contribute sample apps to our documentation and marketplaceWhat You'll Do (Data Science Profile)· Build end-to-end ML pipelines - from data ingestion to model deployment· Train models on various datasets to validate training infrastructure· Run experiments and verify MLflow tracking captures all metrics correctly· Create and deploy models through the model registry workflow· Build data processing notebooks that handle different formats and sizes· Develop AI agents using the no-code builder to validate ML use cases· Stress-test with large datasets to find memory and performance limits· Document model quality issues, training failures, and unexpected behaviorsWho You AreDeveloper Profile - Must Have:• 0-2 years experience (fresh graduates welcome)• You can build things - not just test them• Solid programming skills in Python and/or JavaScript• Experience building with REST APIs• Basic database knowledge (SQL)• Familiarity with Git - you've worked on real projects• Exposure to Docker (even side projects count)• Curiosity to break things and understand why they brokeData Science Profile - Must Have:• 0-2 years experience (fresh graduates welcome)• You've built ML models - not just followed tutorials• Solid Python skills• Hands-on with pandas, numpy, scikit-learn• Experience with Jupyter notebooks on real projects• Understanding of ML workflow: data prep, training, evaluation, deployment• Familiarity with at least one ML framework (scikit-learn, PyTorch, TensorFlow)• Curiosity to push models and pipelines to their limitsNice to Have (Both Profiles):• Personal projects or portfolio showcasing what you've built• Experience with MLflow or experiment tracking• Exposure to cloud platforms (AWS/GCP/Azure)• Contributions to open source• Experience with CI/CD pipelinesWhat You'll Become In 12 months:• Deep expertise in enterprise AI platform architecture• Ability to build full-stack AI applications end-to-end• MLOps skills - pipelines, experiment tracking, model deployment• Experience with enterprise integrations (Salesforce, SAP, databases)• Understanding of how Fortune 500 companies use AI platforms• A portfolio of real apps and pipelines you builtThis sets you up for roles in platform engineering, ML engineering, or solutions architecture.Soft SkillsProblem-solving mindsetStrong communication skillsOwnership and accountabilityAbility to learn fast and adapt to new technologiesWhat we offerOpportunity to work at the forefront of Generative AI and Agentic AIFully remote - work from anywhere in IndiaHealth insuranceLearning budget for courses and certificationsGlobal exposure - collaborate with teams in Sydney, Singapore, DubaiPlease apply only if you match the criteria.To apply, please fill out this form: filling out the form, your application is not complete.Katonic AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
Job Title
Product Engineer