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Role Summary We are looking for a hands-on AI Engineer with strong expertise in Generative AI and Agentic AI systems, focused on building and operating production-grade applications. The ideal candidate must have…
We at Fusion Practices are building the next generation of our integration and extension platform – custom modules that plug into Oracle Fusion Cloud ERP where standard capabilities do not fit customer requirements.…
Role Overview You will be involved in full lifecycle AI solution delivery – from research and prototyping to scaling and deployment. The ideal candidate combines strong theoretical ML/DL grounding with applied…
Leads GenAI/LLM engineering work for Deloitte's US clients from Tel Aviv (hybrid): building scalable Python back ends and applying LangChain, RAG, agents, and vector databases to turn complex business problems into data-driven solutions.
Senior AI Engineer at Velsera (PierianDx) in Pune, India, training, fine-tuning, and deploying LLMs and building RAG pipelines and AI/ML infrastructure on cloud platforms. Core stack: Python, PyTorch/TensorFlow/Hugging Face, vector databases, Docker/Kubernetes, and MLOps tools like MLflow.
Data Scientist at Grupo Petersen (an Argentine financial group) designs, develops and deploys generative-AI solutions (RAG architectures, AI agents, LLM fine-tuning) alongside classic ML models, turning large data volumes into business insights. Hybrid full-time role in Buenos Aires, heavy on Python, SQL and MLOps/LLMOps practices.
ChargePoint is hiring a Senior AI/GenAI Engineer (remote in India) to architect LLM applications such as copilots, chatbots, and AI agents, designing RAG and grounded AI systems while owning backend APIs, LLMOps practices, and optimizing production AI for quality, cost, and latency using Python, LangChain/LangGraph, Elasticsearch, and vector databases on AWS/GCP.
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Brazil. We are a custom product engineering company that supports both multinational organizations and scaling…
Senior AI Engineer at Finastra (financial services software) in Bengaluru who designs, builds, and deploys production LLM-powered solutions — RAG, text-to-SQL, and multi-agent systems — using Python, LangChain/LangGraph, vector databases, and cloud AI platforms like Azure OpenAI and AWS Bedrock.
Architects and builds scalable cloud-native backends — REST/GraphQL APIs, microservices, and databases — while integrating LLMs, RAG pipelines, and AI agents. Works with Python/Node.js/Java/Go, PostgreSQL/MongoDB/Redis, Docker/Kubernetes on AWS/Azure/GCP, plus OpenAI/Claude/Gemini APIs and vector databases.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Builds and maintains production-grade AI solutions on Azure for Pentland Brands — intelligent agents, generative AI apps, and ML pipelines — while also handling BAU support for production APIs and the Azure platform (App Service, Azure SQL, Storage, SFTP). Core stack: Python, .NET/C#, SQL, LLMs/RAG, and agent frameworks like LangChain/LangGraph.
Designs and operates a production-grade AI platform on AWS for restaurant-focused AI agents, enabling teams to build, deploy, and scale multi-tenant GenAI workflows with RAG pipelines and LLM orchestration.
Vice President, AI / Machine Learning Software Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of…
Designs and deploys generative AI solutions for U.S. federal clients, focusing on large language models, retrieval-augmented generation, and cloud-based AI platforms like AWS Bedrock and Google Vertex AI.
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