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The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
DevOps Engineer leading AI infrastructure in Madrid, focused on containerized deployments and LLMOps using Docker, Kubernetes, Ollama, LangChain, and CUDA Toolkit with Python and Java.
Build and orchestrate agentic AI systems that automate complex business workflows, integrating LLMs and tool-calling while ensuring reliability and human oversight.
ML Engineer fine-tuning open-source LLMs and building AI agents for Lyft's Safety and Customer Care team using PyTorch, LangGraph, and post-training methods like SFT, LoRA, and RLHF.
Principal AI Engineer leading a distributed team in architecting and building AI-integrated software solutions, with a focus on agentic AI, prompt engineering, and system design using Python, LLM tools, and AI agent frameworks.
ENIOR FULLSTACK & AI/ML ENGINEER We're looking for a Senior Fullstack & AI/ML Engineer to implement AI solutions that automate operational business processes. We need someone who can own solutions…
Build and scale messaging APIs and backend services for a creator-marketing platform, modernizing legacy PHP systems into Node.js microservices while integrating with Google/Microsoft APIs and supporting AI agent workflows.
Senior engineer building production AI systems that automate enterprise workflows using LLMs and orchestration frameworks, owning full lifecycle from design to deployment and operations.
Pre-sales AI security architect designs tailored solutions, demos products, and runs PoCs to help clients adopt AI securely using Python, cloud, and AI/ML tools like LangChain.
Design and deliver enterprise-grade generative AI solutions using Azure OpenAI, LangChain, and RAG pipelines to build AI agents and scalable AI infrastructure.
Principal Architect at 6sense designs and evolves large-scale, distributed cloud systems, setting technical strategy and guiding engineering teams in building scalable, resilient platforms.
Lead AI Engineer designing, building, and deploying AI-powered applications using LLMs, RAG, and agentic workflows (LangGraph), with full-stack skills in Next.js, React, and Python backends for a client-services consultancy.
Build and scale backend services in Java/Spring Boot while integrating AI tools to enhance engineering workflows and product capabilities for a fast-growing SaaS workforce management platform.
The Lead GenAI/AI-ML SME will lead the architecture and development of agentic AI solutions for network operations and anomaly detection. The role requires expertise in Python, LangChain/LangGraph, and vector databases to build multi-agent systems for incident triage.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
Build production-grade, tool-augmented AI agents using LLMs, RAG, and agent orchestration frameworks, integrating them with enterprise systems and enforcing safety policies.
Design, build, and optimize enterprise-grade AI agents and solutions, combining deep AI/ML technical expertise with strategic consulting to translate complex business challenges into production-ready architectures.
Builds autonomous AI agents using Elastic Stack tools to automate complex business tasks, integrating LLMs, RAG, and cloud infrastructure while ensuring security and observability.
Design and build front-end interfaces for generative and agentic AI experiences at Elastic, using React, TypeScript, and the Elastic Stack (ESRE, EUI, Agent Builder) to create streaming, conversational, and multi-modal AI user interfaces for internal enterprise products.
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