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Design and build AI-agent workflows, integrating models, memory, and tools; set reliability standards and evaluation tooling for production systems.
Builds and deploys LLM-powered AI agents using LangChain and RAG to automate business tasks and improve productivity.
Build and deploy scalable AI/ML systems using Python, Azure, Databricks, and MLOps/LLMOps tooling to solve business problems at a sustainability-focused company.
Senior Full-Stack Engineer building an AI-powered financial crime investigation platform in fintech, using React, Python, FastAPI, LangGraph, and AWS.
Build and deploy AI/ML models and LLM-based assistants for pharma-market analytics, including RAG systems and data-driven decision tools.
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Lead AI Engineer builds and deploys generative AI and agentic systems for financial services, focusing on multi-modal LLMs, scalable MLOps pipelines, and enterprise integration.
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Design and sell AI-powered data solutions for customers, integrating data platforms, AI models, and agentic frameworks to enable scalable, secure AI deployments across industries.
Build and deploy AI-driven solutions for a financial firm, focusing on GenAI, LLMs, and scalable ML models using Python, C#, and Azure.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build and deploy enterprise Generative AI apps using LLMs, RAG pipelines, and AI agents with Python, LangChain, and vector databases.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Build and maintain Python-based AI applications, embed AI capabilities into systems, and deploy on AWS for clients.
Backend developer builds Java/Kotlin microservices with REST APIs, integrates LLM agents using Spring AI/LangChain, and designs RAG systems with vector databases for AI-driven business services.
Builds cloud-native software and AI solutions for enterprise clients, using Python, TypeScript, and agentic-coding tools like Claude Code while advising on architecture and security.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
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