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Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Build and ship full-stack AI-powered developer tools and APIs using LLMs, Python/FastAPI, and React/Next.js to automate software development workflows.
Design and deploy AI models to improve ride experiences and operational efficiency at Lyft, collaborating with data scientists and product teams.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Senior AI engineer at 2K Sports Lab building AI systems for realistic sports gameplay in Unreal Engine 5, requiring deep C++ and sports knowledge.
Welcome to a place where people are at the heart of everything we do. Welcome to people with an inspiring vision and who seek stimulating challenges. At CIMA+, you’ll find a place where you’ll have many opportunities…
EPAM Systems is seeking a Senior Cloud Native Developer in Poland, focusing on building scalable, resilient cloud-native applications with AI. The ideal candidate has over 3 years of experience in Python, cloud…
Senior engineer designs and optimizes on-premise large-language-model inference pipelines and GPU clusters for enterprise deployments.
Build and ship LLM-powered agentic AI systems for financial services, using Python, Go, TypeScript, cloud platforms, and Kafka to create autonomous workflows over sensitive data.
Lead a team building automation solutions using Microsoft Power Platform, Copilot, RPA, and Azure to streamline business processes and drive digital transformation.
Build LLM-powered compliance tools on Google Cloud to detect and interpret regulatory changes for banking clients, using Python and AI pipelines.
Build and optimize backend services for LLM inference, focusing on routing, batching, scheduling, and GPU utilization to improve performance and reliability of AI systems.
Builds and scales an AI-powered media-content platform using agentic systems for both product and development workflows.
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Senior AI Engineer building GenAI applications with LLMs, RAG, agents, and semantic search in Python, integrating models via APIs and deploying backend services.
Design and build modern data and AI pipelines (data lake, lakehouse, data mesh) and deploy GenAI/BI solutions for international clients.
Build and deploy AI applications using large language models and data pipelines in small teams, occasionally leading projects and advising clients on AI solutions.
ABOUT THE PROJECT Клієнт є однією з топ-5 компаній медичного страхування в США. Вони прагнуть розширити доступ до високоякісної та економічно ефективної медичної допомоги та надати своїм членам інформацію та…
Architect and scale backend systems for high-throughput LLM interactions, vector search, and multi-agent orchestration, integrating model providers and data stores into performant pipelines.
Build and scale Python backend services, APIs, and LLM agent frameworks while integrating external systems and improving observability for AI-driven applications.
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