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Build and deploy production-grade agentic AI systems using LLMs, orchestration frameworks, and cloud platforms for enterprise clients.
Design and deploy enterprise-scale AI solutions using Microsoft’s AI ecosystem (Copilot, Azure AI) to drive business value in a regulated financial services environment.
Design and deploy AI-powered solutions using LLMs, RAG, and NLP to build scalable, secure applications and automate business processes.
Senior AI Engineer builds and deploys production-grade agentic AI systems using LLMs for enterprise automation, evaluation frameworks, and regulatory-compliant financial services at Maya.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, LLM APIs, RAG, and cloud infrastructure.
Lead the engineering and evolution of Precisely AI Studio, a developer portal and AI asset marketplace, while mentoring a team to build scalable agent workflows and integrations with LLM ecosystems.
Senior developer building scalable front-end apps with Angular 19+, NgRx, and AGGrid, plus Python back-end services and AWS cloud-native systems.
Build and optimize Python-based backend and AI systems for a fintech startup, applying LLMs and RAG pipelines to financial data to deliver real-time insights for asset owners.
Build and scale an AgentAI platform using LLMs, LangChain/LangGraph, and Python; integrate with enterprise systems while ensuring GDPR and AI Act compliance.
Builds and maintains a secure, multi-cloud GenAI platform using Node.js/TypeScript, React, and Azure services while integrating AI APIs and prompt engineering.
Builds full-stack Java/Spring Boot and React/TypeScript apps, integrates Generative AI features, and deploys to Kubernetes while using AI tools like GitHub Copilot.
Jira ticket We are looking for a Senior Full-Stack Engineer to join our PR&D team as a single web owner in a fast-paced product environment. In this role, you will take full ownership of the web architecture across…
Build and ship AI systems for property managers: RAG pipelines, multi-step agent workflows, and LLM integrations using TypeScript, Python, and vector databases.
Designs and builds high-performance Java/Spring Boot backend services and integrates AI agents using Google ADK and prompt engineering for AI-powered features.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Research and develop large language models and generative AI systems, focusing on NLP, computer vision, and synthetic data generation for a public-sector R&D firm.
Build and deploy full-stack agentic AI applications using Python, React, and LLM frameworks like LangGraph or AutoGen, integrating RAG pipelines, MCP servers, and DevOps practices for enterprise clients.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI. Build intelligent testing workflows and integrate them into CI/CD pipelines.
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