Top Tech Jobs & Startup Jobs

Lead the design, development, and deployment of production NLP and Generative AI solutions. Architect RAG pipelines, optimize transformer and LLM systems, build training and evaluation pipelines, and improve model quality, scalability, reliability, latency, and cost. Translate business needs into AI solutions, establish engineering best practices, collaborate across technical and product teams, and mentor engineers.

Design, develop, and maintain scalable cloud-native full-stack applications using React.js with Python and/or Node.js. Build backend services, RESTful or GraphQL APIs, AWS integrations, reusable frontend components, and WebSocket-based real-time features. Contribute to testing, code reviews, documentation, debugging, performance optimization, and technical collaboration while applying modern microservices, serverless, and CI/CD practices.

Lead the end-to-end design, development, and deployment of production NLP and Generative AI solutions. Architect RAG pipelines, LLM applications, model-training and inference systems, and evaluation frameworks. Optimize quality, latency, scalability, reliability, and cost while translating business needs into AI solutions. Collaborate with engineering and product teams, establish AI engineering best practices, mentor engineers, and provide technical leadership across NLP initiatives.

Design, develop, and maintain scalable cloud-native full-stack applications using React.js and Python or Node.js. Build backend services, RESTful or GraphQL APIs, AWS integrations, microservices, serverless systems, and WebSocket functionality. Develop reusable responsive components, troubleshoot performance issues, contribute to testing, code reviews, and documentation, and collaborate with engineering teams while mentoring junior engineers as needed.

Design, develop, and maintain scalable full-stack applications using React.js, Python, and/or Node.js. Build backend services and APIs integrated with AWS infrastructure, develop reusable responsive components, implement RESTful or GraphQL services and WebSockets, and contribute to testing, code reviews, documentation, troubleshooting, and performance optimization.

Design, develop, and maintain scalable full-stack applications using React.js, Python, and/or Node.js. Build backend services, APIs, and real-time functionality integrated with AWS cloud infrastructure. Create reusable responsive frontend components, troubleshoot performance issues, contribute to testing and code reviews, and document technical solutions. The role also involves collaborating with engineering teams, staying current with modern technologies, and optionally mentoring junior engineers.

Design and build scalable Node.js and Nest.js backend services, REST and GraphQL APIs, data pipelines, and AI model integrations. Collaborate with ML and DevOps engineers to deploy models, manage feature stores and datasets, and maintain reliable production systems. Implement caching, queuing, monitoring, testing, and CI/CD workflows using cloud, containerization, and orchestration technologies.

Supports enterprise data management, engineering, integration, modeling, governance, and business intelligence initiatives. Builds ingestion and transformation pipelines with Microsoft Fabric and Databricks, develops Power BI dashboards, maintains logical and physical data models, and supports Microsoft Purview cataloging, metadata, lineage, and governance. The role also monitors data quality, resolves cross-system issues, documents standards, and collaborates with business, technical, and international stakeholders.

Supports enterprise data management, integration, engineering, modeling, governance, and business intelligence. Builds Fabric ingestion solutions and Databricks pipelines, develops Power BI dashboards, maintains logical and physical data models, and supports Purview cataloging, metadata, lineage, and governance. Monitors data quality, resolves source-system issues, documents standards, and collaborates with business, technical, and international stakeholders to deliver governed, analytics-ready data.

Supports enterprise data management, integration, engineering, business intelligence, modeling, governance, and data quality initiatives. Builds ingestion and transformation pipelines using Microsoft Fabric and Databricks, develops Power BI dashboards, maintains logical and physical data models, and supports Purview cataloging, metadata, lineage, and governance. The role resolves data issues, ensures analytics-ready data, collaborates with business and technical stakeholders, and contributes to data management standards and continuous improvement.