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Senior full-stack engineer building Java microservices and AI agents that connect LLMs to enterprise systems using RAG, prompt engineering, and modern AI tooling.
Senior Java engineer building high-performance backend systems for credit, risk, and AI-driven financial products in a regulated fintech environment.
Build and deploy NLP and generative AI systems—fine-tuning LLMs, RAG pipelines, and vector search—to automate document processing and decision support for a mid-market professional services firm.
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.
About the Company We are seeking highly skilled Data Engineers with strong expertise in Python, Hadoop, AI, and Big Data technologies to join a leading banking client's enterprise Data & AI transformation…
Leads AI strategy for a global product company, designing and scaling recommendation systems, user search, and autonomous agentic models (LLMs, RAG, orchestration) to improve discovery and personalization at scale.
Designs and deploys Generative AI solutions (LLMs, copilots, agents) to automate enterprise workflows, focusing on prompt engineering, RAG architectures, and responsible AI deployment with Azure OpenAI/AWS Bedrock.
Build production-grade GenAI apps using LLMs, RAG pipelines, and AI agents with Python/FastAPI, optimizing for performance and cost.
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…
Lead a team building a knowledge graph that maps scientific experts from publications and clinical trials using graph databases, vector embeddings, and LLM workflows to power expert discovery and AI-driven insights.
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Build and deploy enterprise-grade AI systems for clients, leading from prototype to production with LLMs, RAG, agents, and MLOps in regulated environments.
Senior AI engineer embeds and deploys enterprise-grade AI systems for clients, building LLM/RAG pipelines, agents, and ML models while navigating compliance and legacy systems.
Builds and deploys large-scale AI systems for ZoomInfo’s data platform, including recommendation engines, NLP models, and agentic workflows using LLMs, vector search, and MLOps pipelines.
Build and maintain the FinFAST platform’s full-stack features, integrating LLM APIs for an AI research assistant and creating interactive dashboards to visualize economic data.
Build and deploy generative AI and ML applications using embeddings and vector databases to improve healthcare analytics and solutions.
Build and deploy generative AI and ML models, focusing on embeddings and vector databases, to improve healthcare solutions and processes.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
Build and deploy production-grade generative AI applications using Python, LLMs, and libraries like Transformers, LangChain, and Hugging Face.
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