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Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Build and evolve production-grade LLM agents for a regulated fintech, focusing on autonomous workflows, RAG, and continuous evaluation in a CVM/LGPD environment.
Build and optimize Retrieval-Augmented Generation pipelines to power context-aware LLMs, focusing on robust retrieval systems for AI agents and applications.
Build and deploy AI applications on a central platform, focusing on RAG systems, LLM integrations, and data products to improve logistics operations.
Job Description . We are seeking a highly motivated Full Stack Developer to join our Agile development team and deliver end-to-end cloud-native solutions. . The ideal candidate will have strong expertise in Node.js,…
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a government-wide…
JobDescription We are seeking a self-motivated Full Stack Developer to join our agile squad, capable of delivering end-to-end solutions on cloud infrastructure. The ideal candidate will have a strong grasp of modern…
About The Team Shopee's Data Infrastructure team builds the company's stable, efficient, secure, and easy-to-use big data infrastructure and platform, supporting data collection, storage, batch and real-time…
Job Description We are seeking a Backend Software Engineer who is passionate about designing and delivering scalable, and maintainable backend systems. You will play a key role in building high-quality software…
Design and deliver production-grade AI systems, including RAG pipelines and evaluation systems, using modern AI infrastructure and tooling for scalable, observable services.
Build and deploy enterprise-grade AI agents and RAG systems using Google’s Gemini Enterprise stack, from front-end interfaces to production-grade retrieval pipelines and cloud infrastructure.
Design and optimize AI models (RAG, Agentic AI) using Python and frameworks like TensorFlow/PyTorch, and deploy them on cloud platforms.
Location: Buffalo, NY Salary: $65.00 USD Hourly - $75.00 USD Hourly Description: Title : Generative Ai Engineer Contract Length: Up to 18 Months W2 Contract Location: Buffalo, NY Remote Travel: Potential Buffalo travel…
Build and deploy production-grade AI systems using LLMs, RAG pipelines, and agentic workflows, while ensuring scalability, reliability, and Responsible AI practices in cloud environments.
Build and improve AI agents that automate go-to-market workflows like lead sourcing and enrichment, focusing on reliability, evaluation, and production robustness.
Design and build scalable backend systems and APIs for AI-powered applications using Python, LLMs, and RAG pipelines.
Do you want to help shape AI in everyday software development and business operations? Mission As AI Engineer, you will play a central role in building our capability to use AI agents across all Group Digital…
About Calpion is an 18-year-old Dallas-headquartered technology firm that offers customers artificial intelligence solutions by building custom deep learning and machine learning algorithms, custom enterprise…
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed…
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