Responsibilities: Java 17+, Spring Boot (REST APIs) Spring Data JPA / Hibernate PostgreSQL (including JSONB support) Shopify Admin API integration (REST) GCP Cloud SQL setup and connectivity Spring Boot deployment best practices Maternity benefits in mediclaim policy Accidental insurance Maternity policy Flexi working Health insurance Annual bonus Performance bonus Leave encashment Provident fund
JavaScript / TypeScript, HTML5 ,CSS NodeJS or React Experience in building browser extension Build and test the POS extension tile UI Connect with backend API Assist in app setup on Shopify test/dev store Validate inputs and handle error states Annual bonus Provident fund Health insurance Leave encashment Referral bonus Performance bonus Maternity leaves Paternity leaves
We are looking for a highly skilled .NET Full Stack Developer with 4 + years of experience to join our dynamic technology team. The ideal candidate will have strong expertise in .NET technologies, frontend frameworks, and SQL, along with experience in building scalable enterprise applications. Experience in EDI (Electronic Data Interchange) or Shipping/Logistics domain will be considered a significant advantage. Key Responsibilities Design, develop, and maintain web applications using .NET Core / .NET 8, MVC, and C# . Develop and optimize database queries, procedures, and functions in SQL Server . Work on frontend development using React / Angular / or any modern JavaScript framework . Implement microservices-based architecture for scalable systems. Collaborate with cross-functional teams to define, design, and ship new features. Integrate applications with EDI workflows and external APIs (bonus if from shipping domain). Maintain code quality through unit testing, CI/CD pipelines, and Azure DevOps . Troubleshoot, debug, and upgrade existing systems. Required Skills & Experience Minimum 3.5+ years of professional experience in full-stack development. Strong programming skills in C#, .NET Core / .NET 8, MVC, OOPS concepts . Proficiency in SQL Server (queries, stored procedures, performance optimization). Hands-on experience in frontend technologies such as React / Angular / JavaScript / HTML5 / CSS3 . Knowledge of microservices , REST APIs, and cloud deployments (preferably Azure ). Experience with Azure DevOps, Git, and CI/CD pipelines . Bonus / Preferred Skills Exposure to EDI standards (EDIFACT, ANSI X12, API-EDI integration). Experience in the shipping, logistics, or container industry domain . Knowledge of Docker/Kubernetes for containerized deployments. Why Join Us? Opportunity to work on cutting-edge solutions in the shipping & logistics industry. Collaborative and innovative work environment. Growth-oriented culture with opportunities to learn AI/ML & automation integration. Competitive salary and performance-based rewards.
Key Responsibilities: Write clean and efficient Java code for scalable backend systems. Design and maintain RESTful APIs to connect with frontend and other services. Work with databases using SQL; optionally experience with NoSQL. Find and fix bugs quickly; optimize performance. Collaborate with UI/frontend teams and participate in simple design decisions. Join in code reviews and follow best coding practices. Skills Required: Java 17+, Spring Boot (REST APIs) Spring Data JPA / Hibernate PostgreSQL (including JSONB support) Shopify Admin API integration (REST) GCP Cloud SQL setup and connectivity Spring Boot deployment best practices
Role & responsibilities Define and execute the AI/ML roadmap for personalized recommendation features. Develop and deploy ML models into production using tools like FastAPI, Docker, MLFlow , and Airflow . Build and optimize recommendation systems using collaborative filtering , content-based filtering , and knowledge-based techniques . Integrate agentic AI workflows using LLMs (OpenAI APIs, Vertex AI) and Retrieval-Augmented Generation (RAG). Work with structured and unstructured data including user behavior, travel logs, and merchant/product metadata. Use Perplexity-style LLM architectures to enhance explainability and product/merchant discovery. Collaborate across backend, frontend, and data engineering teams for end-to-end system integration . Ensure scalable and secure deployment on cloud platforms (AWS, GCP, or Azure). Preferred candidate profile 2 to 5 years of IT industry experience & min 2 years ML/AI model development, roadmap ownership, and production deployment. Proven experience deploying ML models with FastAPI, Docker, MLFlow , and Airflow . Strong hands-on expertise in Python , Pandas , scikit-learn , and recommendation libraries like LightFM or XGBoost . Solid understanding of recommender systems , including hybrid approaches combining collaborative and content-based filtering. Familiarity with agentic AI systems and LLM workflows (RAG, prompt engineering, conversational AI). Working knowledge of Vertex AI , OpenAI APIs , or Perplexity-style architectures for LLM-enhanced recommendations. Exposure to cloud environments (AWS/GCP/Azure) for training and serving ML models. Immediate availability is a must. Strong problem-solving skills, adaptability, and the ability to work independently in a fast-paced environment.