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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…
Design and build enterprise-scale AI platforms using LLMs, RAG, and Azure, focusing on production-grade GenAI architectures and MLOps.
Lead the design and deployment of production-grade GenAI systems on Azure, setting engineering standards and guiding teams to build scalable, secure AI solutions.
Build and deploy end-to-end AI applications using LLMs and GenAI on Azure, from concept to production, collaborating with business and data teams.
Design enterprise-grade AI and generative-AI architectures on AWS/Azure/GCP, translating business goals into scalable, secure cloud solutions that integrate LLMs, RAG, MLOps and responsible-AI practices.
Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, owning LLM inference chains, AI infrastructure, and full-stack features from model to UI.
Middle Full Stack Developer (Generative AI) Location: Spain (100% Remote) Type: Full-time Compensation: 35K-45K About the Role We’re looking for a Middle Full-Stack Developer to build and deploy cloud applications for…
Lead a team building scalable data and AI platforms at a global fintech company, enabling teams to leverage data and AI efficiently while ensuring reliability and compliance.
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
Build and ship AI-powered features end-to-end, from prototype to production, integrating LLMs, vector databases, and retrieval pipelines with React, TypeScript, and Python.
Build AI-driven healthcare applications end-to-end using Python/TypeScript, agent frameworks, and vector databases, deploying on cloud platforms while owning the full stack from design to production.
Build and scale GenAI proof-of-concepts into production apps using RAG, intelligent agents, and full-stack tech like React, FastAPI, and AWS/Azure.
Build and ship production-grade AI agents and copilots, owning architecture, deployment, monitoring, and reliability for real user-facing systems.
Builds and optimizes TigerGraph’s distributed graph database and analytics engine, focusing on scalability, low-latency queries, and ML integration.
Validate data accuracy and consistency using SQL and Python, testing ETL pipelines and resolving discrepancies for cloud-based datasets.
About Bold Business Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver…
Build and scale data infrastructure for an AI-powered accounting platform, including data lakes, relational databases, and search/vector systems to handle high-volume financial data.
Build and deploy full-stack generative AI applications using LLMs, vector databases, and modern frontend/backend stacks to deliver AI-powered features for enterprise clients.
Build and lead AI-powered services using Java Spring Boot and Python (Flask/FastAPI/Django), React/Angular frontends, and GenAI patterns like RAG and agentic systems.
Design and own AI agents for enterprise data transformation, retrieval, and code generation using Python, vector databases, and cloud infrastructure.
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