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Machine Learning (ML)About Us
DAITA is a German AI startup revolutionizing the global textile supply chain by digitizing factory-to-brand workflows. We are building cutting-edge AI-powered SaaS and Agentic Systems that automate order management, production tracking, and compliance — making the supply chain smarter, faster, and more transparent.
Fresh off a $500K pre-seed raise, our passionate team is on the ground in India, collaborating directly with factories and brands to build our MVP and create real-world impact. If you’re excited by the intersection of AI, SaaS, and supply chain innovation, join us to help reshape how textiles move from factory floors to global brands.
Role Overview
We’re seeking a versatile Full-Stack Engineer to join our growing engineering team. You’ll be instrumental in designing and building scalable, secure, and high-performance applications that power our AI-driven platform. Working closely with Founders, ML Engineers, and Pilot Customers, you’ll transform complex AI workflows into intuitive, production-ready features.
What You’ll Do
• Design, develop, and deploy backend services, APIs, and microservices powering our platform.
• Build responsive, user-friendly frontend applications tailored for factory and brand users.
• Integrate AI/ML models and agentic workflows into seamless production environments.
• Develop features supporting order parsing, supply chain tracking, compliance, and reporting.
• Collaborate cross-functionally to iterate rapidly, test with users, and deliver impactful releases.
• Optimize applications for performance, scalability, and cost-efficiency on cloud platforms.
• Establish and improve CI/CD pipelines, deployment processes, and engineering best practices.
• Write clear documentation and maintain clean, maintainable code.
Required Skills
• 3–5 years of professional Full-Stack development experience
• Strong backend skills with frameworks like Node.js, Python (FastAPI, Django), Go, or similar
• Frontend experience with React, Vue.js, Next.js, or similar modern frameworks
• Solid knowledge and experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, Neon)
• Strong API design skills (REST mandatory; GraphQL a plus)
• Containerization expertise with Docker
• Container orchestration and management with Kubernetes (including experience with Helm charts, operators, or custom resource definitions)
• Cloud deployment and infrastructure experience on AWS, GCP or Azure
• Hands-on experience deploying AI/ML models in cloud-native environments (AWS, GCP or Azure) with scalable infrastructure and monitoring.
• Experience with managed AI/ML services like AWS SageMaker, GCP Vertex AI, Azure ML, Together.ai, or similar
• Experience with CI/CD pipelines and DevOps tools such as Jenkins, GitHub Actions, Terraform, Ansible, or ArgoCD
• Familiarity with monitoring, logging, and observability tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or Helicone
Nice-to-have
• Experience with TypeScript for full-stack AI SaaS development
• Use of modern UI frameworks and tooling like Tailwind CSS
• Familiarity with modern AI-first SaaS concepts viz. vector databases for fast ML data retrieval, prompt engineering for LLM integration, integrating with OpenRouter or similar LLM orchestration frameworks etc.
• Knowledge of MLOps tools like Kubeflow, MLflow, or Seldon for model lifecycle management.
• Background in building data pipelines, real-time analytics, and predictive modeling.
• Knowledge of AI-driven security tools and best practices for SaaS compliance.
• Proficiency in cloud automation, cost optimization, and DevOps for AI workflows.
• Ability to design and implement hyper-personalized, adaptive user experiences.
What We Value
• Ownership: You take full responsibility for your work and ship high-quality solutions quickly.
• Bias for Action: You’re pragmatic, proactive, and focused on delivering results.
• Clear Communication: You articulate ideas, challenges, and solutions effectively across teams.
• Collaborative Spirit: You thrive in a cross-functional, distributed team environment.
• Customer Focus: You build with empathy for end users and real-world usability.
• Curiosity & Adaptability: You embrace learning, experimentation, and pivoting when needed.
• Quality Mindset: You write clean, maintainable, and well-tested code.
Why Join DAITA?
• Be part of a mission-driven startup transforming a $1+ Trillion global industry.
• Work closely with founders and AI experts on cutting-edge technology.
• Directly impact real-world supply chains and sustainability.
• Grow your skills in AI, SaaS, and supply chain tech in a fast-paced environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
About DAITA
About
At DAITA, we’re on a mission to revolutionize the fashion supply chain with intelligent AI solutions. Our focus is simple: automate the repetitive, so fashion brands can focus on what they do best—creativity, strategy, and growth.
We’ve done the groundwork—research across 8 countries and 3 continents, collaborating with everyone from cotton farmers to global retailers. This hands-on experience allows us to build AI tools that solve real-world problems with precision and empathy. And what truly sets us apart? Simplicity. Our solutions work out of the box, with zero learning curve and setup in under 24 hours.
Currently in our MVP stage and backed by pre-seed funding, we’re building something ambitious. Led by founders Jérôme Schmidt (ex-Snapchat AR) and Luis Voss (ex-Enpal), DAITA isn’t just another tech startup—we’re reimagining the world’s second-largest industry, one AI solution at a time.
Candid answers by the company
We build AI tools for the fashion supply chain to reduce manual work, improve decision-making, and increase transparency. By handling operational complexity, we help clients focus on growth and creativity.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon